Patent Grant
10845459
The present invention is based on previous European patent application number 13171901.5, the full content of which is herewith included by reference. The invention relates to a detector, a detector system and a method for determining a position of at least one object. The invention further relates to a human-machine interface for exchanging at least one item of information between a user and a machine, an entertainment device, a tracking system, a camera and various uses of the detector device. The devices, systems, methods and uses according to the present invention specifically may be employed for example in various areas of daily life, gaming, traffic technology, production technology, security technology, photography such as digital photography or video photography for arts, documentation or technical purposes, medical technology or in the sciences. However, other applications are also possible.
A large number of optical sensors and photovoltaic devices are known from the prior art. While photovoltaic devices are generally used to convert electromagnetic radiation, for example, ultraviolet, visible or infrared light, into electrical signals or electrical energy, optical detectors are generally used for picking up image information and/or for detecting at least one optical parameter, for example, a brightness.
A large number of optical sensors which can be based generally on the use of inorganic and/or organic sensor materials are known from the prior art. Examples of such sensors are disclosed in US 2007/0176165 A1, U.S. Pat. No. 6,995,445 B2, DE 2501124 A1, DE 3225372 A1 or else in numerous other prior art documents. To an increasing extent, in particular for cost reasons and for reasons of large-area processing, sensors comprising at least one organic sensor material are being used, as described for example in US 2007/0176165 A1. In particular, so-called dye solar cells are increasingly of importance here, which are described generally, for example in WO 2009/013282 A1.
A large number of detectors for detecting at least one object are known on the basis of such optical sensors. Such detectors can be embodied in diverse ways, depending on the respective purpose of use. Examples of such detectors are imaging devices, for example, cameras and/or microscopes. High-resolution confocal microscopes are known, for example, which can be used in particular in the field of medical technology and biology in order to examine biological samples with high optical resolution. Further examples of detectors for optically detecting at least one object are distance measuring devices based, for example, on propagation time methods of corresponding optical signals, for example laser pulses. Further examples of detectors for optically detecting objects are triangulation systems, by means of which distance measurements can likewise be carried out.
In US 2007/0080925 A1, a low power consumption display device is disclosed. Therein, photoactive layers are utilized that both respond to electrical energy to allow a display device to display information and that generate electrical energy in response to incident radiation. Display pixels of a single display device may be divided into displaying and generating pixels. The displaying pixels may display information and the generating pixels may generate electrical energy. The generated electrical energy may be used to provide power to drive an image.
In EP 1 667 246 A1, a sensor element capable of sensing more than one spectral band of electromagnetic radiation with the same spatial location is disclosed. The element consists of a stack of sub-elements each capable of sensing different spectral bands of electromagnetic radiation. The sub-elements each contain a non-silicon semiconductor where the non-silicon semiconductor in each sub-element is sensitive to and/or has been sensitized to be sensitive to different spectral bands of electromagnetic radiation.
In WO 2012/110924 A1, the content of which is herewith included by reference, a detector for optically detecting at least one object is proposed. The detector comprises at least one optical sensor. The optical sensor has at least one sensor region. The optical sensor is designed to generate at least one sensor signal in a manner dependent on an illumination of the sensor region. The sensor signal, given the same total power of the illumination, is dependent on a geometry of the illumination, in particular on a beam cross section of the illumination on the sensor area. The detector furthermore has at least one evaluation device. The evaluation device is designed to generate at least one item of geometrical information from the sensor signal, in particular at least one item of geometrical information about the illumination and/or the object.
U.S. provisional applications 61/739,173, filed on Dec. 19, 2012, 61/749,964, filed on Jan. 8, 2013, and 61/867,169, filed on Aug. 19, 2013, and international patent application PCT/IB2013/061095, filed on Dec. 18, 2013, the full content of all of which is herewith included by reference, disclose a method and a detector for determining a position of at least one object, by using at least one transversal optical sensor and at least one optical sensor. Specifically, the use of sensor stacks is disclosed, in order to determine a longitudinal position of the object with a high degree of accuracy and without ambiguity.
Despite the advantages implied by the above-mentioned devices and detectors, specifically by the detectors disclosed in WO 2012/110924 A1, U.S. 61/739,173 and 61/749,964, several technical challenges remain. Thus, generally, a need exists for detectors for detecting a position of an object in space which is both reliable and may be manufactured at low cost.
It is therefore an object of the present invention to provide devices and methods facing the above-mentioned technical challenges of known devices and methods. Specifically, it is an object of the present invention to provide devices and methods which reliably may determine a position of an object in space, preferably at a low technical effort and with low requirements in terms of technical resources and cost.
This problem is solved by the invention with the features of the independent patent claims. Advantageous developments of the invention, which can be realized individually or in combination, are presented in the dependent claims and/or in the following specification and detailed embodiments.
As used herein, the expressions “have”, “comprise” and “contain” as well as grammatical variations thereof are used in a non-exclusive way. Thus, the expression “A has B” as well as the expression “A comprises B” or “A contains B” may both refer to the fact that, besides B, A contains one or more further components and/or constituents, and to the case in which, besides B, no other components, constituents or elements are present in A.
In a first aspect of the present invention, a detector for determining a position of at least one object is disclosed. As used herein, the term position refers to at least one item of information regarding a location and/or orientation of the object and/or at least one part of the object in space. Thus, the at least one item of information may imply at least one distance between at least one point of the object and the at least one detector. As will be outlined in further detail below, the distance may be a longitudinal coordinate or may contribute to determining a longitudinal coordinate of the point of the object. Additionally or alternatively, one or more other items of information regarding the location and/or orientation of the object and/or at least one part of the object may be determined. As an example, at least one transversal coordinate of the object and/or at least one part of the object may be determined. Thus, the position of the object may imply at least one longitudinal coordinate of the object and/or at least one part of the object. Additionally or alternatively, the position of the object may imply at least one transversal coordinate of the object and/or at least one part of the object. Additionally or alternatively, the position of the object may imply at least one orientation information of the object, indicating an orientation of the object in space.
The detector comprises:
As used herein, an optical sensor generally refers to a light-sensitive device for detecting a light beam, such as for detecting an illumination and/or a light spot generated by a light beam. The optical sensor may be adapted, as outlined in further detail below, to determine at least one longitudinal coordinate of the object and/or of at least one part of the object, such as at least one part of the object from which the at least one light beam travels towards the detector.
As further used herein, a pixel generally refers to a light-sensitive element of the optical sensor, such as a minimum uniform unit of the optical sensor adapted to generate a light signal. As an example, each pixel may have a light-sensitive area of 1 μm2 to 5 000 000 μm2, preferably 100 μm2 to 4 000 000 μm2, preferably 1 000 μm2 to 1 000 000 μm2 and more preferably 2 500 μm2 to 50 000 μm2. Still, other embodiments are feasible. The expression matrix generally refers to an arrangement of a plurality of the pixels in space, which may be a linear arrangement or an areal arrangement. Thus, generally, the matrix preferably may be selected from the group consisting of a one-dimensional matrix and a two-dimensional matrix. As an example, the matrix may comprise 100 to 100 000 000 pixels, preferably 1 000 to 1 000 000 pixels and, more preferably, 10 000 to 500 000 pixels. Most preferably, the matrix is a rectangular matrix having pixels arranged in rows and columns.
As further used herein, the term evaluation device generally refers to an arbitrary device adapted to perform the named operations, preferably by using at least one data processing device and, more preferably, by using at least one processor. Thus, as an example, the at least one evaluation device may comprise at least one data processing device having a software code stored thereon comprising a number of computer commands.
The optical sensor may be adapted to generate at least one signal indicating an intensity of illumination for each of the pixels. Thus, as an example, the optical sensor may be adapted to generate at least one electronic signal for each of the pixels, each signal indicating the intensity of illumination for the respective pixel. The signal may be an analogue and/or a digital signal. Further, the detector may comprise one or more signal processing devices, such as one or more filters and/or analogue-digital-converters for processing and/or preprocessing the at least one signal.
The evaluation device may be adapted to compare, for each of the pixels, the signal to at least one threshold in order to determine whether the pixel is an illuminated pixel or not. This at least one threshold may be an individual threshold for each of the pixels or may be a threshold which is a uniform threshold for the whole matrix. In case a plurality of optical sensors is provided, at least one threshold may be provided for each of the optical sensors and/or for a group comprising at least two of the optical sensors, wherein, for two optical sensors, their respective thresholds may be identical or different. Thus, for each of the optical sensors, an individual threshold may be provided.
As will be outlined in further detail below, the threshold may be predetermined and/or fixed. Alternatively, the at least one threshold may be variable. Thus, the at least one threshold may be determined individually for each measurement or groups of measurements. Thus, at least one algorithm may be provided adapted to determine the threshold.
The evaluation device generally may be adapted to determine at least one pixel having the highest illumination out of the pixels by comparing the signals of the pixels. Thus, the detector generally may be adapted to determine one or more pixels and/or an area or region of the matrix having the highest intensity of the illumination by the light beam. As an example, in this way, a center of illumination by the light beam may be determined.
The highest illumination and/or the information about the at least one area or region of highest illumination may be used in various ways. Thus, as outlined above, the at least one above-mentioned threshold may be a variable threshold. As an example, the evaluation device may be adapted to choose the above-mentioned at least one threshold as a fraction of the signal of the at least one pixel having the highest illumination. Thus, the evaluation device may be adapted to choose the threshold by multiplying the signal of the at least one pixel having the highest illumination with a factor of 1/e2. As will be outlined in further detail below, this option is particularly preferred in case Gaussian propagation properties are assumed for the at least one light beam, since the threshold 1/e2 generally determines the borders of a light spot having a beam radius or beam waist w generated by a Gaussian light beam on the optical sensor.
The evaluation device may be adapted to determine the longitudinal coordinate of the object by using a predetermined relationship between the number N of the pixels which are illuminated by the light beam and the longitudinal coordinate of the object. Thus, generally, the diameter of the light beam, due to propagation properties generally known to the skilled person, changes with propagation, such as with a longitudinal coordinate of the propagation. The relationship between the number of illuminated pixels and the longitudinal coordinate of the object may be an empirically determined relationship and/or may be analytically determined. Thus, as an example, a calibration process may be used for determining the relationship between the number of illuminated pixels and the longitudinal coordinate. Additionally or alternatively, as mentioned above, the predetermined relationship may be based on the assumption of the light beam being a Gaussian light beam. The light beam may be a monochromatic light beam having a precisely one wavelength λ or may be a light beam having a plurality of wavelengths or a wavelength spectrum, wherein, as an example, a central wavelength of the spectrum and/or a wavelength of a characteristic peak of the spectrum may be chosen as the wavelength λ of the light beam. In case a plurality of optical sensors is used, specific predetermined relationships between the respective number of illuminated pixels of the optical sensors and the longitudinal coordinate may be used. Thus, as an example, for each optical sensor, a predetermined relationship between the number of illuminated pixels and the longitudinal coordinate may be provided. As will be outlined in further detail below, the optical sensors may be arranged in a stack. Further, the optical sensors may have different properties, such as different geometries such as different geometries of the matrix of pixels and/or of the pixels. Further, the optical sensors may have differing sensitivities, such as differing spectral sensitivities. By providing specific predetermined relationships between the respective numbers of illuminated pixels of the optical sensors, these differing properties of the optical sensors may be taken into account.
As an example of an analytically determined relationship, the predetermined relationship, which may be derived by assuming Gaussian properties of the light beam, may be:
wherein z is the longitudinal coordinate,
wherein w0 is a minimum beam radius of the light beam when propagating in space,
wherein z0 is a Rayleigh-length of the light beam with z0=π·w02/λ, λ being the wavelength of the light beam.
This relationship may generally be derived from the general equation of an intensity I of a Gaussian light beam traveling along a z-axis of a coordinate system, with r being a coordinate perpendicular to the z-axis and E being the electric field of the light beam:
I(r,z)=|E(r,z)|2=I0·(w0/w(z))2·e−2r
The beam radius w of the transversal profile of the Gaussian light beam generally representing a Gaussian curve is defined, for a specific z-value, as a specific distance from the z-axis at which the amplitude E has dropped to a value of 1/e (approx. 36%) and at which the intensity I has dropped to 1/e2. The minimum beam radius, which, in the Gaussian equation given above (which may also occur at other z-values, such as when performing a z-coordinate transformation), occurs at coordinate z=0, is denoted by w0. Depending on the z-coordinate, the beam radius generally follows the following equation when light beam propagates along the z-axis:
With the number N of illuminated pixels being proportional to the illuminated area A of the optical sensor:
N˜A (4)
or, in case a plurality of optical sensors i=1, . . . , n is used, with the number Ni of illuminated pixels for each optical sensor being proportional to the illuminated area Ai of the respective optical sensor
Ni˜Ai (4′)
and the general area of a circle having a radius w:
A=π·w2, (5)
the following relationship between the number of illuminated pixels and the z-coordinate may be derived:
respectively, with z0=Π·w02/λ, as mentioned above. Thus, with N or Ni, respectively, being the number of pixels within a circle being illuminated at an intensity of I≥I0/e2, as an example, N or Ni may be determined by simple counting of pixels and/or other methods, such as a histogram analysis. In other words, a well-defined relationship between the z-coordinate and the number of illuminated pixels N or Ni, respectively, may be used for determining the longitudinal coordinate z of the object and/or of at least one point of the object, such as at least one longitudinal coordinate of at least one beacon device being one of integrated into the object and/or attached to the object.
In the equations given above, such as in equation (1), it is assumed that the light beam has a focus at position z=0. It shall be noted however, that a coordinate transformation of the z-coordinate is possible, such as by adding and/or subtracting a specific value. Thus, as an example, the position of the focus typically is dependent on the distance of the object from the detector and/or on other properties of the light beam. Thus, by determining the focus and/or the position of the focus, a position of the object, specifically a longitudinal coordinate of the object, may be determined, such as by using an empirical and/or an analytical relationship between a position of the focus and a longitudinal coordinate of the object and/or the beacon device. Further, imaging properties of the at least one optional transfer device, such as the at least one optional lens, may be taken into account. Thus, as an example, in case beam properties of the light beam being directed from the object towards the detector are known, such as in case emission properties of an illuminating device contained in a beacon device are known, by using appropriate Gaussian transfer matrices representing a propagation from the object to the transfer device, representing imaging of the transfer device and representing beam propagation from the transfer device to the at least one optical sensor, a correlation between a beam waist and a position of the object and/or the beacon device may easily be determined analytically. Additionally or alternatively, a correlation may empirically be determined by appropriate calibration measurements.
As outlined above, the matrix of pixels preferably may be a two-dimensional matrix. However, other embodiments are feasible, such as one-dimensional matrices. More preferably, as outlined above, the matrix of pixels is a rectangular matrix.
The detector may comprise precisely one optical sensor or may comprise a plurality of the optical sensors. In case a plurality of the optical sensors is provided, the optical sensors may be arranged in various ways. Thus, as an example, the light beam may be split into two or more beams, each beam being directed towards one or more of the optical sensors. Additionally or alternatively, two or more of the optical sensors may be stacked along an axis, such as along an optical axis of the detector, preferably with their sensitive areas face towards the same direction. Thus, as an example, the detector may comprise a plurality of the optical sensors, wherein the optical sensors are stacked along an optical axis of the detector.
As an example, the detector may comprise n optical sensors, with n>1. The evaluation device generally may be adapted to determine the number Ni of the pixels which are illuminated by the light beam for each of the optical sensors, wherein i∈{1,n} denotes the respective optical sensor. As used herein, “each” refers to the fact that a number of illuminated pixels is determined for each optical sensor part of a plurality of the optical sensors, notwithstanding the fact that optical sensors may exist which are not illuminated by the light beam and/or which are used for other purposes, and, consequently, for which no number of illuminated pixels is determined.
The evaluation device may be adapted to compare the number Ni of pixels which are illuminated by the light beam for each optical sensor with at least one neighboring optical sensor, thereby resolving an ambiguity in the longitudinal coordinate of the object.
The sensor signals of the optical sensors may be used in various ways. Thus, as an example, the redundancy of the sensor signals may be used for eliminating unknown information regarding the power of the light beam. Thus, the sensor signals may be normalized, such as by setting the strongest sensor signal to value 1 or 100 and providing the remaining sensor signals as fractions of this strongest sensor signal. Thus, generally, the evaluation device may be adapted to normalize sensor signals of the optical sensors for a power of the light beam. Additionally or alternatively, however, as outlined above, a normalization may take place within each optical sensor, such as for setting appropriate thresholds for determining pixels which are illuminated by the light beam and for determining pixels which are not illuminated by the light beam.
The at least one optical sensor generally may be transparent or may be intransparent. Thus, as an example, the optical sensor may be transparent and adapted to transmit at least 10%, preferably at least 20% and, more preferably, at least 50% of the power of the light beam. In case a plurality of the optical sensors is provided, such as in a stacked fashion, preferably, at least one of the optical sensors is transparent.
In case a plurality of the optical sensors is provided, which may be arranged in the stacked fashion and/or in another arrangement, the optical sensors may have identical spectral sensitivities or may provide different spectral sensitivities. Thus, as an example, at least two of the optical sensors may have a differing spectral sensitivity. As used herein, the term spectral sensitivity generally refers to the fact that the sensor signal of the optical sensor, for the same power of the light beam, may vary with the wavelength of the light beam. Thus, generally, at least two of the optical sensors may differ with regard to their spectral properties. This embodiment generally may be achieved by using different types of absorbing materials for the optical sensors, such as different types of dyes or other absorbing materials. Additionally or alternatively, differing spectral properties of the optical sensors may be generated by other means implemented into the optical sensors and/or into the detector, such as by using one or more wavelength-selective elements, such as one or more filters (such as color filters) in front of the optical sensors and/or by using one or more prisms and/or by using one or more dichroitic mirrors. Thus, in case a plurality of optical sensors is provided, at least one of the optical sensors may comprise a wavelength-selective element such as a color filter, having a specific transmission or reflection characteristic, thereby generating differing spectral properties of the optical sensors. Further, as will be outlined in further detail below, in case a plurality of optical sensors is used, these optical sensors may all be organic optical sensors, may all be inorganic optical sensors, may all be hybrid organic-inorganic optical sensors or may comprise an arbitrary combination of at least two optical sensors selected from the group consisting of organic optical sensors, inorganic optical sensors and hybrid organic-inorganic optical sensors.
In case a plurality of the optical sensors is used, wherein at least two of the optical sensors differ with regard to their respective spectral sensitivity, the evaluation device generally may be adapted to determine a color of the light beam by comparing sensor signals of the optical sensors having the differing spectral sensitivity. As used herein, the expression “determine a color” generally refers to the step of generating at least one item of spectral information about the light beam. The at least one item of spectral information may be selected from the group consisting of a wavelength, specifically a peak wavelength; color coordinates, such as CIE coordinates.
The determination of the color of the light beam may be performed in various ways which are generally known to the skilled person. Thus, the spectral sensitivities of the optical sensors may span a coordinate system in color space, and the signals provided by the optical sensors may provide a coordinate in this color space, as known to the skilled person for example from the way of determining CIE coordinates.
As an example, the detector may comprise two, three or more optical sensors in a stack. Thereof, at least two, preferably at least three, of the optical sensors may have differing spectral sensitivities. Further, the evaluation device may be adapted to generate at least one item of color information for the light beam by evaluating the signals of the optical sensors having differing spectral sensitivities.
As an example, at least three optical sensors being spectrally sensitive optical sensors may be contained in the stack. Thus, e.g., the spectrally sensitive optical sensors may comprise at least one red sensitive optical sensor, the red sensitive optical sensor having a maximum absorption wavelength λr in a spectral range 600 nm<λr<780 nm, wherein the spectrally sensitive optical sensors further comprise at least one green sensitive optical sensor, the green sensitive optical sensor having a maximum absorption wavelength λg in a spectral range 490 nm<λg<600 nm, wherein the spectrally sensitive optical sensors further may comprise at least one blue sensitive optical sensor, the blue sensitive optical sensor having a maximum absorption wavelength λb in a spectral range 380 nm<λb<490 nm. As an example, the red sensitive optical sensor, the green sensitive optical sensor and the blue sensitive optical sensor, in this order or in a different order, may be the first optical sensors of the optical sensor stack, facing towards the object.
The evaluation device may be adapted to generate at least two color coordinates, preferably at least three color coordinates, wherein each of the color coordinates is determined by dividing a signal of one of the spectrally sensitive optical sensors by a normalization value. As an example, the normalization value may contain a sum of the signals of all spectrally sensitive optical sensors. Additionally or alternatively, the normalization value may contain a detector signal of a white detector.
The at least one item of color information may contain the color coordinates. The at least one item of color information may, as an example, contain CIE coordinates.
In addition to the preferred at least two, more preferably at least three, spectrally sensitive optical sensors, the stack further may comprise at least one white detector, wherein the white detector may be adapted to absorb light in an absorption range of all spectrally sensitive detectors. Thus, as an example, the white detector may have an absorption spectrum absorbing light all over the visible spectral range.
The spectrally sensitive optical sensors each may comprise at least one dye, the dye being adapted to absorb light in one or more of the visible spectral range, the ultraviolet spectral range and the infrared spectral range, with a non-uniform absorption spectrum. As an example, the dyes each may have an absorption spectrum having at least one absorption peak. The absorption peak, as a solid, as a film or as sensitizer on a scaffold material (e.g. TiO2), may have a width, such as a full width at half maximum (FWHM) which may be broad, such as by using dyes absorbing all over one or more of the visible, the infrared or the ultraviolet spectral range, or may be narrow, such as by using dyes having an FWHM of no more than 300 nm, preferably of no more than 200 nm, more preferably of no more than 80 nm, of no more than 60 nm or of no more than 40 nm. The absorption peaks of the dyes may be spaced apart by at least 60 nm, preferably at least 80 nm and, more preferably, by at least 100 nm. Other embodiments are feasible.
In case the detector comprises a plurality of optical sensors, as outlined above, the optical sensors preferably may be arranged in a stack. In case a plurality of optical sensors is provided, the optical sensors may be identical, or at least two of the optical sensors may differ with regard to at least one property, such as with regard to a geometric property, a property of device setup or, as outlined above, spectral sensitivity.
As an example, as outlined above, the plurality of optical sensors may provide differing spectral sensitivities, such as an optical sensor with sensitivity in the red spectral range (R), an optical sensor with spectral sensitivity in the green spectral range (G) and an optical sensor with spectral sensitivity in the blue spectral range (B). As outlined above, the differing spectral sensitivities may be provided by various means, such as by providing absorbing materials having differing spectral sensitivities and/or by providing one or more wavelength-selective elements. Thus, in a stack of optical sensors and/or in another arrangement of a plurality of optical sensors, various combinations of optical sensors having differing spectral sensitivities may be provided. As an example, an RGB stack may be provided, in the given order or in a different order.
Further, in case a plurality of optical sensors is provided, the plurality of optical sensors may differ with regard to device setup and/or with regard to the materials used in the optical sensors. Specifically, the optical sensors may differ with regard to their organic or inorganic in nature. Thus, the plurality of optical sensors and, more specifically, the stack, may comprise one or more organic optical sensors, one or more inorganic optical sensors, one or more hybrid organic-inorganic optical sensors or an arbitrary combination of at least two of these optical sensors. Thus, as an example, the stack may consist of organic optical sensors only, may consist of inorganic optical sensors only or may consist of hybrid organic-inorganic optical sensors, only. Additionally or alternatively, the stack may comprise at least one organic optical sensor and at least one inorganic optical sensor or may comprise at least one organic optical sensor and at least one hybrid organic-inorganic optical sensor or may comprise at least one organic optical sensor and at least one hybrid organic-inorganic optical sensor. Preferably, the stack may comprise at least one organic optical sensor and, further, preferably on a side of the stack furthest away from the object, at least one inorganic optical sensor. Thus, as an example, as will be outlined in further detail below, the stack may comprise at least one organic optical sensor, such as at least one dye-sensitized solar cell (DSC) or solid dye-sensitized solar cell (sDSC), and, further, at least one inorganic sensor such as a CCD or CMOS sensor chip more preferably on a side of the stack furthest away from the object.
Further, in case a plurality of optical sensors is provided, the optical sensors may differ with regard to their transparency. Thus, as an example, all optical sensors may fully or partially be transparent. Alternatively, all optical sensors may fully or partially be intransparent (also referred to as opaque). Further, specifically in case the plurality of optical sensors is arranged as a stack, a combination of at least one at least partially transparent optical sensor and at least one at least partially intransparent optical sensor may be used. Thus, the stack may comprise one or more transparent optical sensors and, additionally, preferably on a side of the stack furthest away from the object, at least one intransparent optical sensor. Thus, as outlined above, one or more at least partially transparent optical sensors may be provided by using one or more transparent organic optical sensors such as one or more transparent DSCs or sDSCs.
Additionally or alternatively, at least partially transparent optical sensors may be provided by using inorganic sensors, such as very thin inorganic optical sensors or inorganic optical sensors having a bandgap which is designed such that at least a part of the incident light beam is transmitted. Intransparent optical sensors may be provided by using intransparent electrodes and/or intransparent absorbing materials, such as organic and/or inorganic materials. As an example, an organic optical sensor may be provided having a thick metal electrode, such as a metal electrode having a thickness of more than 50 nm, preferably more than 100 nm. Additionally or alternatively, an inorganic optical sensor may be provided having an intransparent semiconductor material. As an example, typical CCD or CMOS camera chips provide intransparent properties. As an example, the stack may comprise one or more at least partially transparent DSCs or sDSCs and, on a side furthest away from the object, an intransparent CMOS or CCD chip. Other embodiments are feasible.
As outlined above, the detector may further comprise at least one transfer device. The transfer device preferably may be positioned in a light path in between the object and the detector. As used herein, a transfer device generally is an arbitrary optical element adapted to guide the light beam onto the optical sensor. The guiding may take place with unmodified properties of the light beam or may take place with imaging or modifying properties. Thus, generally, the transfer device might have imaging properties and/or beam-shaping properties, i.e. might change a beam waist and/or a widening angle of the light beam and/or a shape of the cross-section of the light beam when the light beam passes the transfer device. The transfer device, as an example, may comprise one or more elements selected from the group consisting of a lens and a mirror. The mirror may be selected from the group consisting of a planar mirror, a convex mirror and a concave mirror. Additionally or alternatively, one or more prisms may be included. Additionally or alternatively, one or more wavelength-selective elements may be included, such as one or more filters, specifically color filters, and/or one or more dichroitic mirrors. Again, additionally or alternatively, the transfer device may comprise one or more diaphragms, such as one or more pinhole diaphragms and/or iris diaphragms.
The transfer device can for example comprise one or a plurality of mirrors and/or beam splitters and/or beam deflecting elements in order to influence a direction of the electromagnetic radiation. Alternatively or additionally, the transfer device can comprise one or a plurality of imaging elements which can have the effect of a converging lens and/or a diverging lens. By way of example, the optional transfer device can have one or a plurality of lenses and/or one or a plurality of convex and/or concave mirrors. Once again alternatively or additionally, the transfer device can have at least one wavelength-selective element, for example at least one optical filter. Once again alternatively or additionally, the transfer device can be designed to impress a predefined beam profile on the electromagnetic radiation, for example, at the location of the sensor region and in particular the sensor area. The above-mentioned optional embodiments of the optional transfer device can, in principle, be realized individually or in any desired combination. The at least one transfer device, as an example, may be positioned in front of the detector, i.e. on a side of the detector facing towards the object.
In addition to the at least one longitudinal coordinate of the object, at least one transversal coordinate of the object may be determined. Thus, generally, the evaluation device may further be adapted to determine at least one transversal coordinate of the object by determining a position of the light beam on the matrix of pixels. As an example, the evaluation device may be adapted to determine a center of illumination of the at least one matrix by the light beam, wherein the at least one transversal coordinate of the object is determined by evaluating at least one coordinate of the center of illumination. Thus, the coordinate of the center of illumination may be a pixel coordinate of the center of illumination. As an example, the matrix may comprise rows and columns of pixels, wherein the row number of the light beam and/or the center of the light beam within the matrix may provide an x-coordinate, and wherein the column number of the light beam and/or the center of the light beam within the matrix may provide a y-coordinate.
By providing one or more transversal coordinates, such as x- and/or y-coordinates, the evaluation device is adapted to provide at least one three-dimensional position of the object.
Further options of the present invention refer to potential embodiments of the at least one optical sensor. Generally, an arbitrary optical sensor device having a matrix of pixels used, such as an optical sensor device selected from the group consisting of: an inorganic semiconductor sensor device such as a CCD chip and/or a CMOS chip; an organic semiconductor sensor device. In the latter case, as an example, the optical sensor may, for example, comprise at least one organic photovoltaic device having a matrix of pixels. As used herein, an organic photovoltaic device generally refers to a device having at least one organic photosensitive element and/or at least one organic layer. Therein, generally, any type of organic photovoltaic device may be used, such as organic solar cells and/or an arbitrary device having at least one organic photosensitive layer. As an example, an organic solar cell and/or a dye-sensitized organic solar cell may be comprised. Further, a hybrid device may be used, such as inorganic-organic photovoltaic devices. The detector may comprise one or more organic photovoltaic devices and/or may comprise one or more inorganic photovoltaic devices and/or may comprise a combination consisting of one or more organic photovoltaic devices and one or more inorganic photovoltaic devices.
The optical sensor specifically may comprise at least one dye-sensitized solar cell having at least one patterned electrode. For potential embodiments of dye-sensitized solar cells, reference may be made to WO 2012/110924 A1 and to U.S. provisional applications Nos. 61/739,173 and 61/749,964. The device setups of the dye-sensitized solar cells disclosed therein, specifically of the optical sensors disclosed therein, may generally also be applied to the present invention, with the proviso that at least one of the electrodes of these dye-sensitized solar cells is patterned in order to provide a plurality of pixels. Thus, as an example, one or both of the first and second electrodes of the dye-sensitized solar cells disclosed in the named documents may be patterned. As an example, the first electrode may be patterned to provide a plurality of parallel horizontal stripes, and the second electrode may be patterned to provide a plurality of parallel vertical stripes, or vice versa. Thus, at each crossing point of a stripe of the first electrode and a stripe of the second electrode, a pixel is provided which, by electrically contacting the respective stripes of the electrodes and measuring an electrical current and/or voltage, may be read out.
The optical sensor specifically may comprise at least one first electrode, at least one n-semiconducting metal oxide, at least one dye, at least one p-semiconducting organic material, preferably a solid p-semiconducting organic material, and at least one second electrode, with the at least one n-semiconducting metal oxide, the at least one dye and the at least one p-semiconducting organic material being embedded in between the first electrode and the second electrode.
As mentioned above and as will be outlined in further detail below, generally, for potential embodiments of materials or layer combinations which may be used for the first electrode, the at least one n-semiconducting metal oxide, the at least one dye, the at least one p-semiconducting organic material and the at least one second electrode, reference may be made to the above-mentioned WO 2012/110924 A1 as well as to U.S. provisional applications 61/739,173, filed on Dec. 19, 2012, and 61/749,964, filed on Jan. 8, 2013. Still, other embodiments are feasible. Thus, as an example, the n-semiconducting metal oxide may comprise a nanoporous layer of a metal oxide and a dense layer of a metal oxide. The metal oxide preferably may be or may comprise titanium dioxide. For potential dyes, reference may be made to the dyes mentioned in the above-mentioned documents, such as to the dye ID 504. Further, with regard to potential p-semiconducting organic materials, as an example, spiro-MeOTAD may be used, as disclosed in one or more of the above-mentioned documents. Similarly, for potential electrode materials, both transparent and intransparent, reference may be made to these documents. As outlined above, other embodiments are feasible.
Both the first electrode and the second electrode may be transparent. However, other electrode setups may be possible.
As outlined above, preferably, at least one of the first electrode and the second electrode may be a patterned electrode. Thus, as an example, one or both of the first electrode and the second electrode may comprise a plurality of electrode stripes, such as horizontal electrode stripes and/or vertical electrode stripes. As an example for pixelated optical sensors which may also be used in the context of the present invention, reference may be made to EP patent application No. 13171898.3, the full content of which is herewith included by reference. Still, other pixelated optical sensors may be used.
As an example, as outlined above, the first electrode may comprise a plurality of electrode stripes and the second electrode may comprise a plurality of electrode stripes, wherein the electrode stripes of the first electrode are oriented perpendicular to the electrode stripes of the second electrode. As outlined above, at each crossing point of electrode stripes of the first electrode and an electrode stripe of the second electrode, a pixel is formed which may be read out independently.
The detector may further comprise appropriate reading electronics, such as a reading electronics adapted to contact one of the electrode stripes of the first electrode and to contact one of the electrode stripes of the second electrode and to measure a current through the stripes and/or to measure a voltage at the respective stripes. In order to read out the pixels, a sequential reading scheme may be chosen and/or a multiplexing scheme. Thus, as an example, all pixels within one row may be read out simultaneously, before switching to the next row of the matrix, thereby sequentially reading out all pixel rows. Alternatively, a row multiplexing may be chosen, reading out all pixels of one column spontaneously, before switching to the next column. However, other readout schemes are possible, such as readout schemes using a plurality of transistors. Generally, passive matrix and/or active matrix readout schemes may be used. As an example of read-out schemes which may be used, reference may be made to US 2007/0080925 A1. Other readout schemes are feasible.
For potential electrode materials, reference may be made to WO 2012/110924 A1 and to U.S. provisional applications Nos. 61/739,173 and 61/749,964. Other embodiments are possible. Specifically, at least one of the first electrode and the second electrode may comprise an electrically conductive polymer. Specifically, a transparent electrically conductive polymer may be used. For potential embodiments of electrically conductive polymers, reference may be made to the named documents.
It shall be noted, however, that any other type of optical sensors, preferably transparent optical sensors, having a plurality of pixels, may be used for the present invention.
In a further aspect of the present invention, a detector system for determining a position of at least one object is disclosed. The detector system comprises at least one detector according to the present invention, such as at least one detector as disclosed in one or more of the embodiments described above and/or as disclosed in one or more of the embodiments disclosed in further detail below.
The detector system further comprises at least one beacon device adapted to direct at least one light beam towards the detector. As used herein and as will be disclosed in further detail below, a beacon device generally refers to an arbitrary device adapted to direct at least one light beam towards the detector. The beacon device may fully or partially be embodied as an active beacon device, comprising at least one illumination source for generating the light beam. Additionally or alternatively, the beacon device may fully or partially be embodied as a passive beacon device comprising at least one reflective element adapted to reflect a primary light beam generated independently from the beacon device towards the detector.
The beacon device is at least one of attachable to the object, holdable by the object and integratable into the object. Thus, the beacon device may be attached to the object by an arbitrary attachment means, such as one or more connecting elements. Additionally or alternatively, the object may be adapted to hold the beacon device, such as by one or more appropriate holding means. Additionally or alternatively, again, the beacon device may fully or partially be integrated into the object and, thus, may form part of the object or even may form the object.
Generally, with regard to potential embodiments of the beacon device, reference may be made to one or more of U.S. provisional applications 61/739,173, filed on Dec. 19, 2012, and 61/749,964, filed on Jan. 8, 2013. Still, other embodiments are feasible.
As outlined above, the beacon device may fully or partially be embodied as an active beacon device and may comprise at least one illumination source. Thus, as an example, the beacon device may comprise a generally arbitrary illumination source, such as an illumination source selected from the group consisting of a light-emitting diode (LED), a light bulb, an incandescent lamp and a fluorescent lamp. Other embodiments are feasible.
Additionally or alternatively, as outlined above, the beacon device may fully or partially be embodied as a passive beacon device and may comprise at least one reflective device adapted to reflect a primary light beam generated by an illumination source independent from the object. Thus, in addition or alternatively to generating the light beam, the beacon device may be adapted to reflect a primary light beam towards the detector.
The detector system may comprise one, two, three or more beacon devices. Thus, generally, in case the object is a rigid object which, at least on a microscope scale, does not change its shape, preferably, at least two beacon devices may be used. In case the object is fully or partially flexible or is adapted to fully or partially change its shape, preferably, three or more beacon devices may be used. Generally, the number of beacon devices may be adapted to the degree of flexibility of the object. Preferably, the detector system comprises at least three beacon devices.
The object generally may be a living or non-living object. The detector system even may comprise the at least one object, the object thereby forming part of the detector system. Preferably, however, the object may move independently from the detector, in at least one spatial dimension.
The object generally may be an arbitrary object. In one embodiment, the object may be a rigid object. Other embodiments are feasible, such as embodiments in which the object is a non-rigid object or an object which may change its shape.
As will be outlined in further detail below, the present invention may specifically be used for tracking positions and/or motions of a person, such as for the purpose of controlling machines, gaming or simulation of sports. In this or other embodiments, specifically, the object may be selected from the group consisting of: an article of sports equipment, preferably an article selected from the group consisting of a racket, a club, a bat; an article of clothing; a hat; a shoe.
In a further aspect of the present invention, a human-machine interface for exchanging at least one item of information between a user and a machine is disclosed. The human-machine interface comprises at least one detector system according to the present invention, such as according to one or more of the embodiments disclosed above and/or according to one or more of the embodiments disclosed in further detail below. The beacon devices are adapted to be at least one of directly or indirectly attached to the user and held by the user. The human-machine interface is designed to determine at least one position of the user by means of the detector system. The human-machine interface further is designed to assign to the position at least one item of information.
In a further aspect of the present invention, an entertainment device for carrying out at least one entertainment function is disclosed. The entertainment device comprises at least one human-machine interface according to the present invention. The entertainment device further is designed to enable at least one item of information to be input by a player by means of the human-machine interface. The entertainment device further is designed to vary the entertainment function in accordance with the information.
In a further aspect of the present invention, a tracking system for tracking a position of at least one movable object is disclosed. The tracking system comprises at least one detector system according to the present invention, such as according to one or more of the embodiments disclosed above and/or according to one or more of the embodiments disclosed in further detail below. The tracking system further comprises at least one track controller, wherein the track controller is adapted to track a series of positions of the object at specific points in time.
In a further aspect of the present invention, a method for determining a position of at least one object is disclosed. The method comprises the following steps, which may be performed in the given order or in a different order. Further, two or more or even all of the method steps may be performed simultaneously and/or overlapping in time. Further, one, two or more or even all of the method steps may be performed repeatedly. The method may further comprise additional method steps. The method comprises the following method steps:
The method preferably may be performed by using at least one detector according to the present invention, such as according to one or more of the embodiments disclosed above and/or according to one or more of the embodiments disclosed in further detail below. Thus, for preferred optional embodiments of the method, reference may be made to the disclosure of the detector. The method may further be performed by using the detector system, the human-machine interface, the entertainment device or the tracking system according to the present invention. Other embodiments are feasible.
The method specifically may be performed in such a way that the optical sensor generates at least one signal indicating an intensity of illumination for each of the pixels. Thus, for each of the pixels, an analog and/or digital intensity signal may be generated. In case a digital intensity signal is generated directly or e.g. after analog-digital conversion, the digital signal for each pixel may be a one-bit signal or, preferably, may be a signal having an information depth of more than one bit, such as 4 bit, 8 bit, 16 bit or a different number of bits.
In the evaluation step, for each of the pixels, the signal of the respective pixel may be compared to at least one threshold in order to determine whether the pixel is an illuminated pixel or not.
As outlined above, the threshold may be a predetermined threshold or may be a variable threshold which may be determined according to at least one predetermined algorithm.
In the evaluation step, at least one pixel having the highest illumination out of the pixels is determined by comparing the signals of the pixels. Thus, one or more of the pixels may be determined which have the highest illumination out of the pixels of the matrix.
The knowledge about the one or more pixels having the highest illumination may be used in various ways. Thus, as an example, this information may be used for determining the above-mentioned threshold. As an example, the threshold may be chosen as a fraction of the signal of the at least one pixel having the highest illumination. As outlined above, as an example, the threshold may be chosen by multiplying the signal of the at least one pixel having the highest illumination with a factor of 1/e2.
The longitudinal coordinate of the object may be determined by using a predetermined relationship between the number N of pixels which are illuminated by the light beam and the longitudinal coordinate. As outlined above, the predetermined relationship may be an empirical relationship and/or an analytical relationship. As an example, the predetermined relationship may be based on the assumption of the light beam being a Gaussian light beam. Thus, as explained above with respect to the detector, the predetermined relationship may be:
Again, preferably, the matrix of pixels may be a two-dimensional matrix. More preferably, the matrix of pixels may be a rectangular matrix.
As for the detector, the detector may comprise one optical sensor or, preferably, a plurality of the optical sensors. The optical sensors may be stacked along an optical axis of the detector.
The detector may comprise n optical sensors. Therein, the number Ni of pixels which are illuminated by the light beam may be determined for each of the optical sensors, wherein i∈{1, n} denotes the respective optical sensor.
The number Ni of pixels which are illuminated by the light beam for each optical sensor may be compared with at least one neighboring optical sensor, thereby resolving an ambiguity in the longitudinal coordinate of the object. Further, additionally or alternatively, the sensor signals of the optical sensors may be normalized for a power of the light beam.
In a further aspect of the present invention, a use of the detector according to the present invention, such as to one or more of the embodiments disclosed above and/or according to one or more of the embodiments disclosed in further detail below, is disclosed, for a purpose of use, selected from the group consisting of: a position measurement in traffic technology; an entertainment application; a security application; a safety application; a human-machine interface application; a tracking application; a photography application, such as an application for digital photography for arts, documentation or technical purposes; a use in combination with at least one time-of-flight detector.
Thus, generally, the detector according to the present invention may be applied in various fields of uses. Specifically, the detector may be applied for a purpose of use, selected from the group consisting of: a position measurement in traffic technology; an entertainment application; a security application; a human-machine interface application; a tracking application; a photography application; a mapping application for generating maps of at least one space, such as at least one space selected from the group of a room, a building and a street; a mobile application; a webcam; an audio device; a dolby surround audio system; a computer peripheral device; a gaming application; a camera or video application; a security application; a surveillance application; an automotive application; a transport application; a medical application; a sports' application; a machine vision application; a vehicle application; an airplane application; a ship application; a spacecraft application; a building application; a construction application; a cartography application; a manufacturing application; a use in combination with at least one time-of-flight detector. Additionally or alternatively, applications in local and/or global positioning systems may be named, especially landmark-based positioning and/or navigation, specifically for use in cars or other vehicles (such as trains, motorcycles, bicycles, trucks for cargo transportation), robots or for use by pedestrians. Further, indoor positioning systems may be named as potential applications, such as for household applications and/or for robots used in manufacturing technology.
Thus, as for the optical detectors and devices disclosed in WO 2012/110924 A1 or in US provisional applications 61/739,173, filed on Dec. 19, 2012, 61/749,964, filed on Jan. 8, 2013, and 61/867,169, filed on Aug. 19, 2013, and international patent application PCT/IB2013/061095, filed on Dec. 18, 2013, the detector, the detector system, the human-machine interface, the entertainment device, the tracking system or the camera according to the present invention (in the following simply referred to as “the devices according to the present invention” may be used for a plurality of application purposes, such as one or more of the purposes disclosed in further detail in the following.
Thus, firstly, the devices according to the present invention may be used in mobile phones, tablet computers, laptops, smart panels or other stationary or mobile computer or communication applications. Thus, the devices according to the present invention may be combined with at least one active light source, such as a light source emitting light in the visible range or infrared spectral range, in order to enhance performance. Thus, as an example, the devices according to the present invention may be used as cameras and/or sensors, such as in combination with mobile software for scanning environment, objects and living beings. The devices according to the present invention may even be combined with 2D cameras, such as conventional cameras, in order to increase imaging effects. The devices according to the present invention may further be used for surveillance and/or for recording purposes or as input devices to control mobile devices, especially in combination with voice and/or gesture recognition. Thus, specifically, the devices according to the present invention acting as human-machine interfaces, also referred to as input devices, may be used in mobile applications, such as for controlling other electronic devices or components via the mobile device, such as the mobile phone. As an example, the mobile application including at least one device according to the present invention may be used for controlling a television set, a game console, a music player or music device or other entertainment devices.
Further, the devices according to the present invention may be used in webcams or other peripheral devices for computing applications. Thus, as an example, the devices according to the present invention may be used in combination with software for imaging, recording, surveillance, scanning or motion detection. As outlined in the context of the human-machine interface and/or the entertainment device, the devices according to the present invention are particularly useful for giving commands by facial expressions and/or body expressions. The devices according to the present invention can be combined with other input generating devices like e.g. mouse, keyboard, touchpad, microphone etc. Further, the devices according to the present invention may be used in applications for gaming, such as by using a webcam. Further, the devices according to the present invention may be used in virtual training applications and/or video conferences
Further, the devices according to the present invention may be used in mobile audio devices, television devices and gaming devices, as partially explained above. Specifically, the devices according to the present invention may be used as controls or control devices for electronic devices, entertainment devices or the like. Further, the devices according to the present invention may be used for eye detection or eye tracking, such as in 2D- and 3D-display techniques, especially with transparent displays for augmented reality applications and/or for recognizing whether a display is being looked at and/or from which perspective a display is being looked at.
Further, the devices according to the present invention may be used in or as digital cameras such as DSC cameras and/or in or as reflex cameras such as SLR cameras. For these applications, reference may be made to the use of the devices according to the present invention in mobile applications such as mobile phones, as disclosed above.
Further, the devices according to the present invention may be used for security or surveillance applications. Thus, as an example, at least one device according to the present invention can be combined with one or more digital and/or analog electronics that will give a signal if an object is within or outside a predetermined area (e.g. for surveillance applications in banks or museums). Specifically, the devices according to the present invention may be used for optical encryption. Detection by using at least one device according to the present invention can be combined with other detection devices to complement wavelengths, such as with IR, x-ray, UV-VIS, radar or ultrasound detectors. The devices according to the present invention may further be combined with an active infrared light source to allow detection in low light surroundings. The devices according to the present invention are generally advantageous as compared to active detector systems, specifically since the devices according to the present invention avoid actively sending signals which may be detected by third parties, as is the case e.g. in radar applications, ultrasound applications, LIDAR or similar active detector devices. Thus, generally, the devices according to the present invention may be used for an unrecognized and undetectable tracking of moving objects. Additionally, the devices according to the present invention generally are less prone to manipulations and irritations as compared to conventional devices.
Further, given the ease and accuracy of 3D detection by using the devices according to the present invention, the devices according to the present invention generally may be used for facial, body and person recognition and identification. Therein, the devices according to the present invention may be combined with other detection means for identification or personalization purposes such as passwords, finger prints, iris detection, voice recognition or other means. Thus, generally, the devices according to the present invention may be used in security devices and other personalized applications.
Further, the devices according to the present invention may be used as 3D barcode readers for product identification.
In addition to the security and surveillance applications mentioned above, the devices according to the present invention generally can be used for surveillance and monitoring of spaces and areas. Thus, the devices according to the present invention may be used for surveying and monitoring spaces and areas and, as an example, for triggering or executing alarms in case prohibited areas are violated. Thus, generally, the devices according to the present invention may be used for surveillance purposes in building surveillance or museums, optionally in combination with other types of sensors, such as in combination with motion or heat sensors, in combination with image intensifiers or image enhancement devices and/or photomultipliers.
Further, the devices according to the present invention may advantageously be applied in camera applications such as video and camcorder applications. Thus, the devices according to the present invention may be used for motion capture and 3D-movie recording. Therein, the devices according to the present invention generally provide a large number of advantages over conventional optical devices. Thus, the devices according to the present invention generally require a lower complexity with regard to optical components. Thus, as an example, the number of lenses may be reduced as compared to conventional optical devices, such as by providing the devices according to the present invention having one lens only. Due to the reduced complexity, very compact devices are possible, such as for mobile use. Conventional optical systems having two or more lenses with high quality generally are voluminous, such as due to the general need for voluminous beam-splitters. Further, the devices according to the present invention generally may be used for focus/autofocus devices, such as autofocus cameras. Further, the devices according to the present invention may also be used in optical microscopy, especially in confocal microscopy.
Further, the devices according to the present invention generally are applicable in the technical field of automotive technology and transport technology. Thus, as an example, the devices according to the present invention may be used as distance and surveillance sensors, such as for adaptive cruise control, emergency brake assist, lane departure warning, surround view, blind spot detection, rear cross traffic alert, and other automotive and traffic applications. Further, the devices according to the present invention can also be used for velocity and/or acceleration measurements, such as by analyzing a first and second time-derivative of position information gained by using the detector according to the present invention. This feature generally may be applicable in automotive technology, transportation technology or general traffic technology. Applications in other fields of technology are feasible. A specific application in an indoor positioning system may be the detection of positioning of passengers in transportation, more specifically to electronically control the use of safety systems such as airbags. The use of an airbag may be prevented in case the passenger is located as such, that the use of an airbag will cause a severe injury.
In these or other applications, generally, the devices according to the present invention may be used as standalone devices or in combination with other sensor devices, such as in combination with radar and/or ultrasonic devices. Specifically, the devices according to the present invention may be used for autonomous driving and safety issues. Further, in these applications, the devices according to the present invention may be used in combination with infrared sensors, radar sensors, which are sonic sensors, two-dimensional cameras or other types of sensors. In these applications, the generally passive nature of the devices according to the present invention is advantageous. Thus, since the devices according to the present invention generally do not require emitting signals, the risk of interference of active sensor signals with other signal sources may be avoided. The devices according to the present invention specifically may be used in combination with recognition software, such as standard image recognition software. Thus, signals and data as provided by the devices according to the present invention typically are readily processable and, therefore, generally require lower calculation power than established stereovision systems such as LIDAR. Given the low space demand, the devices according to the present invention such as cameras may be placed at virtually any place in a vehicle, such as on a window screen, on a front hood, on bumpers, on lights, on mirrors or other placements. Various detectors according to the present invention such as one or more detectors based on the effect disclosed within the present invention can be combined, such as in order to allow autonomously driving vehicles or in order to increase the performance of active safety concepts. Thus, various devices according to the present invention may be combined with one or more other devices according to the present invention and/or conventional sensors, such as in the windows like rear window, side window or front window, on the bumpers or on the lights.
A combination of at least one device according to the present invention such as at least one detector according to the present invention with one or more rain detection sensors is also possible. This is due to the fact that the devices according to the present invention generally are advantageous over conventional sensor techniques such as radar, specifically during heavy rain. A combination of at least one device according to the present invention with at least one conventional sensing technique such as radar may allow for a software to pick the right combination of signals according to the weather conditions.
Further, the devices according to the present invention generally may be used as brake assist and/or parking assist and/or for speed measurements. Speed measurements can be integrated in the vehicle or may be used outside the vehicle, such as in order to measure the speed of other cars in traffic control. Further, the devices according to the present invention may be used for detecting free parking spaces in parking lots.
Further, the devices according to the present invention may be used in the fields of medical systems and sports. Thus, in the field of medical technology, surgery robotics, e.g. for use in endoscopes, may be named, since, as outlined above, the devices according to the present invention may require a low volume only and may be integrated into other devices. Specifically, the devices according to the present invention having one lens, at most, may be used for capturing 3D information in medical devices such as in endoscopes. Further, the devices according to the present invention may be combined with an appropriate monitoring software, in order to enable tracking and analysis of movements. These applications are specifically valuable e.g. in medical treatments and long-distance diagnosis and tele-medicine.
Further, the devices according to the present invention may be applied in the field of sports and exercising, such as for training, remote instructions or competition purposes. Specifically, the devices according to the present invention may be applied in the fields of dancing, aerobic, football, soccer, basketball, baseball, cricket, hockey, track and field, swimming, polo, handball, volleyball, rugby, sumo, judo, fencing, boxing etc. The devices according to the present invention can be used to detect the position of a ball, a bat, a sword, motions, etc., both in sports and in games, such as to monitor the game, support the referee or for judgment, specifically automatic judgment, of specific situations in sports, such as for judging whether a point or a goal actually was made.
The devices according to the present invention further may be used in rehabilitation and physiotherapy, in order to encourage training and/or in order to survey and correct movements. Therein, the devices according to the present invention may also be applied for distance diagnostics.
Further, the devices according to the present invention may be applied in the field of machine vision. Thus, one or more of the devices according to the present invention may be used e.g. as a passive controlling unit for autonomous driving and or working of robots. In combination with moving robots, the devices according to the present invention may allow for autonomous movement and/or autonomous detection of failures in parts. The devices according to the present invention may also be used for manufacturing and safety surveillance, such as in order to avoid accidents including but not limited to collisions between robots, production parts and living beings. In robotics, the safe and direct interaction of humans and robots is often an issue, as robots may severely injure humans when they are not recognized. Devices according to the present invention may help robots to position objects and humans better and faster and allow a safe interaction. Given the passive nature of the devices according to the present invention, the devices according to the present invention may be advantageous over active devices and/or may be used complementary to existing solutions like radar, ultrasound, 2D cameras, IR detection etc. One particular advantage of the devices according to the present invention is the low likelihood of signal interference. Therefore multiple sensors can work at the same time in the same environment, without the risk of signal interference. Thus, the devices according to the present invention generally may be useful in highly automated production environments like e.g. but not limited to automotive, mining, steel, etc. The devices according to the present invention can also be used for quality control in production, e.g. in combination with other sensors like 2-D imaging, radar, ultrasound, IR etc., such as for quality control or other purposes. Further, the devices according to the present invention may be used for assessment of surface quality, such as for surveying the surface evenness of a product or the adherence to specified dimensions, from the range of micrometers to the range of meters. Other quality control applications are feasible. In a manufacturing environment, the devices according to the present invention are especially useful for processing natural products such as food or wood, with a complex 3-dimensional structure to avoid large amounts of waste material. Further, devices according to the present invention may be used to monitor the filling level of tanks, silos etc.
Further, the devices according to the present invention may be used in the polls, airplanes, ships, spacecraft and other traffic applications. Thus, besides the applications mentioned above in the context of traffic applications, passive tracking systems for aircraft, vehicles and the like may be named. The use of at least one device according to the present invention, such as at east one detector according to the present invention, for monitoring the speed and/or the direction of moving objects is feasible. Specifically, the tracking of fast moving objects on land, sea and in the air including space may be named. The at least one device according to the present invention, such as the at least one detector according to the present invention, specifically may be mounted on a still-standing and/or on a moving device. An output signal of the at least one device according to the present invention can be combined e.g. with a guiding mechanism for autonomous or guided movement of another object. Thus, applications for avoiding collisions or for enabling collisions between the tracked and the steered object are feasible. The devices according to the present invention generally are useful and advantageous due to the low calculation power required, the instant response and due to the passive nature of the detection system which generally is more difficult to detect and to disturb as compared to active systems, like e.g. radar. The devices according to the present invention are particularly useful but not limited to e.g. speed control and air traffic control devices.
The devices according to the present invention generally may be used in passive applications. Passive applications include guidance for ships in harbors or in dangerous areas, and for aircraft at landing or starting. Wherein, fixed, known active targets may be used for precise guidance. The same can be used for vehicles driving in dangerous but well defined routes, such as mining vehicles.
Further, as outlined above, the devices according to the present invention may be used in the field of gaming. Thus, the devices according to the present invention can be passive for use with multiple objects of the same or of different size, color, shape, etc., such as for movement detection in combination with software that incorporates the movement into its content. In particular, applications are feasible in implementing movements into graphical output. Further, applications of the devices according to the present invention for giving commands are feasible, such as by using one or more of the devices according to the present invention for gesture or facial recognition. The devices according to the present invention may be combined with an active system in order to work under e.g. low light conditions or in other situations in which enhancement of the surrounding conditions is required. Additionally or alternatively, a combination of one or more of the devices according to the present invention with one or more IR or VIS light sources is possible. A combination of a detector according to the present invention with special devices is also possible, which can be distinguished easily by the system and its software, e.g. and not limited to, a special color, shape, relative position to other devices, speed of movement, light, frequency used to modulate light sources on the device, surface properties, material used, reflection properties, transparency degree, absorption characteristics, etc. The device can, amongst other possibilities, resemble a stick, a racquet, a club, a gun, a knife, a wheel, a ring, a steering wheel, a bottle, a ball, a glass, a vase, a spoon, a fork, a cube, a die, a figure, a puppet, a teddy, a beaker, a pedal, a switch, a glove, jewelry, a musical instrument or an auxiliary device for playing a musical instrument, such as a plectrum, a drumstick or the like. Other options are feasible.
Further, the devices according to the present invention generally may be used in the field of building, construction and cartography. Thus, generally, one or more devices according to the present invention may be used in order to measure and/or monitor environmental areas, e.g. countryside or buildings. Therein, one or more the devices according to the present invention may be combined with other methods and devices or can be used solely in order to monitor progress and accuracy of building projects, changing objects, houses, etc. The devices according to the present invention can be used for generating three-dimensional models of scanned environments, in order to construct maps of rooms, streets, houses, communities or landscapes, both from ground or from air. Potential fields of application may be construction, cartography, real estate management, land surveying or the like.
One or more devices according to the present invention can further be used for scanning of objects, such as in combination with CAD or similar software, such as for additive manufacturing and/or 3D printing. Therein, use may be made of the high dimensional accuracy of the devices according to the present invention, e.g. in x-, y- or z-direction or in any arbitrary combination of these directions, such as simultaneously. Further, the devices according to the present invention may be used in inspections and maintenance, such as pipeline inspection gauges.
As outlined above, the devices according to the present invention may further be used in manufacturing, quality control or identification applications, such as in product identification or size identification (such as for finding an optimal place or package, for reducing waste etc.). Further, the devices according to the present invention may be used in logisitics applications. Thus, the devices according to the present invention may be used for optimized loading or packing containers or vehicles. Further, the devices according to the present invention may be used for monitoring or controlling of surface damages in the field of manufacturing, for monitoring or controlling rental objects such as rental vehicles, and/or for insurance applications, such as for assessment of damages. Further, the devices according to the present invention may be used for identifying a size of material, object or tools, such as for optimal material handling, especially in combination with robots. Further, the devices according to the present invention may be used for process control in production, e.g. for observing filling level of tanks. Further, the devices according to the present invention may be used for maintenance of production assets like, but not limited to, tanks, pipes, reactors, tools etc. Further, the devices according to the present invention may be used for analyzing 3D-quality marks. Further, the devices according to the present invention may be used in manufacturing tailor-made goods such as tooth inlays, dental braces, prosthesis, clothes or the like. The devices according to the present invention may also be combined with one or more 3D-printers for rapid prototyping, 3D-copying or the like. Further, the devices according to the present invention may be used for detecting the shape of one or more articles, such as for anti-product piracy and for anti-counterfeiting purposes.
Thus, specifically, the present application may be applied in the field of photography. Thus, the detector may be part of a photographic device, specifically of a digital camera. Specifically, the detector may be used for 3D photography, specifically for digital 3D photography. Thus, the detector may form a digital 3D camera or may be part of a digital 3D camera. As used herein, the term photography generally refers to the technology of acquiring image information of at least one object. As further used herein, a camera generally is a device adapted for performing photography. As further used herein, the term digital photography generally refers to the technology of acquiring image information of at least one object by using a plurality of light-sensitive elements adapted to generate electrical signals indicating an intensity and/or color of illumination, preferably digital electrical signals. As further used herein, the term 3D photography generally refers to the technology of acquiring image information of at least one object in three spatial dimensions. Accordingly, a 3D camera is a device adapted for performing 3D photography. The camera generally may be adapted for acquiring a single image, such as a single 3D image, or may be adapted for acquiring a plurality of images, such as a sequence of images. Thus, the camera may also be a video camera adapted for video applications, such as for acquiring digital video sequences.
Thus, generally, the present invention further refers to a camera, specifically a digital camera, more specifically a 3D camera or digital 3D camera, for imaging at least one object. As outlined above, the term imaging, as used herein, generally refers to acquiring image information of at least one object. The camera comprises at least one detector according to the present invention. The camera, as outlined above, may be adapted for acquiring a single image or for acquiring a plurality of images, such as an image sequence, preferably for acquiring digital video sequences. Thus, as an example, the camera may be or may comprise a video camera. In the latter case, the camera preferably comprises a data memory for storing the image sequence.
As used within the present invention, the expression “position” generally refers to at least one item of information regarding one or more of an absolute position and an orientation of one or more points of the object. Thus, specifically, the position may be determined in a coordinate system of the detector, such as in a Cartesian coordinate system. Additionally or alternatively, however, other types of coordinate systems may be used, such as polar coordinate systems and/or spherical coordinate systems.
As outlined above and as will be outlined in further detail below, the present invention preferably may be applied in the field of human-machine interfaces, in the field of sports and/or in the field of computer games. Thus, preferably, the object may be selected from the group consisting of: an article of sports equipment, preferably an article selected from the group consisting of a racket, a club, a bat; an article of clothing; a hat; a shoe. Other embodiments are feasible.
As used herein, the object generally may be an arbitrary object, chosen from a living object and a non-living object. Thus, as an example, the at least one object may comprise one or more articles and/or one or more parts of an article. Additionally or alternatively, the object may be or may comprise one or more living beings and/or one or more parts thereof, such as one or more body parts of a human being, e.g. a user, and/or an animal.
With regard to the coordinate system for determining the position of the object, which may be a coordinate system of the detector, the detector may constitute a coordinate system in which an optical axis of the detector forms the z-axis and in which, additionally, an x-axis and a y-axis may be provided which are perpendicular to the z-axis and which are perpendicular to each other. As an example, the detector and/or a part of the detector may rest at a specific point in this coordinate system, such as at the origin of this coordinate system. In this coordinate system, a direction parallel or antiparallel to the z-axis may be regarded as a longitudinal direction, and a coordinate along the z-axis may be considered a longitudinal coordinate. An arbitrary direction perpendicular to the longitudinal direction may be considered a transversal direction, and an x- and/or y-coordinate may be considered a transversal coordinate.
Alternatively, other types of coordinate systems may be used. Thus, as an example, a polar coordinate system may be used in which the optical axis forms a z-axis and in which a distance from the z-axis and a polar angle may be used as additional coordinates. Again, a direction parallel or antiparallel to the z-axis may be considered a longitudinal direction, and a coordinate along the z-axis may be considered a longitudinal coordinate. Any direction perpendicular to the z-axis may be considered a transversal direction, and the polar coordinate and/or the polar angle may be considered a transversal coordinate.
As used herein, a detector for determining a position of at least one object generally is a device adapted for providing at least one item of information on the position of the at least one object and/or a part thereof. Thus, the position may refer to an item of information fully describing the position of the object or a part thereof, preferably in the coordinate system of the detector, or may refer to a partial information, which only partially describes the position. The detector generally may be a device adapted for detecting light beams, such as the light beams traveling from the beacon devices towards the detector.
The evaluation device and the detector may fully or partially be integrated into a single device. Thus, generally, the evaluation device also may form part of the detector. Alternatively, the evaluation device and the detector may fully or partially be embodied as separate devices. The detector may comprise further components.
The detector may be a stationary device or a mobile device. Further, the detector may be a stand-alone device or may form part of another device, such as a computer, a vehicle or any other device. Further, the detector may be a hand-held device. Other embodiments of the detector are feasible.
As used herein, an optical sensor generally is a device which is designed to generate at least one longitudinal sensor signal in a manner dependent on an illumination of the optical sensor by the light beam. Preferably, as outlined above and as will be outlined in further detail below, the detector according to the present invention may comprise a plurality of optical sensors, preferably as a sensor stack.
The at least one optical sensor may comprise one or more photo detectors, preferably one or more organic photodetectors and, most preferably, one or more dye-sensitized organic solar cells (DSCs, also referred to as dye solar cells), such as one or more solid dye-sensitized organic solar cells (sDSCs). Thus, preferably, the detector may comprise one or more DSCs (such as one or more sDSCs) acting as the at least one optical sensor, preferably a stack of a plurality of DSCs (preferably a stack of a plurality of sDSCs) acting as the at least one optical sensor. Additionally or alternatively, the detector may comprise other types of optical sensors, as outlined in further detail above.
As outlined above, the detector according to the present invention specifically may comprise a plurality of the optical sensors, which are also referred to as pixelated sensors or pixelated optical sensors. Specifically, the detector may comprise a stack of the optical sensors, such as a stack of transparent optical sensors.
Thus, the detector may comprise at least one stack of the optical sensors, and the detector may be adapted to acquire a three-dimensional image of a scene within a field of view of the detector. The optical sensors of the stack may have identical spectral properties, such as identical or uniform absorption spectra. Alternatively, the optical sensors of the stack may have differing spectral properties. Thus, the stack may comprise at least one first optical sensor having a first spectral sensitivity and at least one second optical sensor having a second spectral sensitivity, wherein the first spectral sensitivity and the second spectral sensitivity are different. The stack specifically may comprise optical sensors having differing spectral properties in an alternating sequence. The detector may be adapted to acquire a multicolor three-dimensional image, preferably a full-color three-dimensional image, by evaluating sensor signals of the optical sensors having differing spectral properties.
Thus, generally, the pixelated sensors, specifically the transparent pixelated sensors, may be used to record images at different distances to the detector, such as at different distances to the at least one optional transfer device and, more specifically, to at least one lens of the detector. If more than one pixelated sensor is used, several images at different distances to the detector may be recorded simultaneously. Preferably the distances to the lens are as such, that different parts of the images are in focus. Thus, the images can be used in image-processing techniques known as focus stacking, z-stacking, focal plane merging. One application of these techniques is obtaining images with greater depth of field, which is especially helpful in imaging techniques with typically very shallow depth of field such as macro photography or optical microscopy. Another application is to obtain distance information using algorithms, convolution based algorithms such as depth from focus or depth from defocus. Another application is to optimize the images to obtain a greater artistic or scientific merit.
The detector having the plurality of pixelated sensors also may be used to record a light-field behind a lens or lens system of the detector, comparable to a plenoptic or light-field camera. Thus, specifically, the detector may be embodied as a light-field camera adapted for acquiring images in multiple focal planes, such as simultaneously. The term light-field, as used herein, generally refers to the spatial light propagation of light inside the detector such as inside of a camera. The detector according to the present invention, specifically having a stack of optical sensors, may have the capability of directly recording a light-field within the detector or camera, such as behind a lens. The plurality of pixelated sensors may record images at different distances from the lens. Using, e.g., convolution-based algorithms such as “depth from focus” or “depth from defocus”, the propagation direction, focus points, and spread of the light behind the lens can be modeled. From the modeled propagation of light behind the lens, images at various distances to the lens can be extracted, the depth of field can be optimized, pictures that are in focus at various distances can be extracted, or distances of objects can be calculated. Further information may be extracted.
Once the light propagation inside the detector, such as behind a lens of the detector, is modeled and/or recorded, this knowledge of light propagation provides a large number of advantages. Thus, the light-field may be recorded in terms of beam parameters for one or more light beams of a scene captured by the detector. As an example, for each light beam recorded, two or more beam parameters may be recorded, such as one or more Gaussian beam parameters, e.g. a beam waist, a minimum beam waist as a focal point, a Rayleigh length, or other beam parameters. Several representations of light beams may be used and beam parameters may be chosen accordingly.
This knowledge of light propagation, as an example, allows for slightly modifying the observer position after recording an image stack using image processing techniques. In a single image, an object may be hidden behind another object and is not visible. However, if the light scattered by the hidden object reaches the lens and through the lens one or more of the sensors, the object may be made visible, by changing the distance to the lens and/or the image plane relative to the optical axis, or even using non-planar image planes. The change of the observer position may be compared to looking at a hologram, in which changing the observer position slightly changes the image.
The knowledge of light propagation inside the detector, such as by modeling the light propagation behind the lens, may further allow for storing the image information in a more compact way as compared to conventional technology of storing each image recorded by each individual optical sensor. The memory demand for storing all images of each optical sensor typically scales with the number of sensors times the number of pixels. The memory demand of the light propagation scales with the number of modeled light beams times the number of parameters per light beam. Typical model functions for light beams may be Gaussians, Lorentzians, Bessel functions, especially spherical Bessel functions, other functions typically used for describing diffraction effects in physics, or typical spread functions used in depth from defocus techniques such as point spread functions, line spread functions or edge spread functions.
The use of several pixelated sensors further allows for correcting lens errors in an image processing step after recording the images. Optical instruments often become expensive and challenging in construction, when lens errors need to be corrected. These are especially problematic in microscopes and telescopes. In microscopes, a typical lens error is that rays of varying distance to the optical axis are distorted differently (spherical aberration). In telescopes, varying the focus may occur from differing temperatures in the atmosphere. Static errors such as spherical aberration or further errors from production may be corrected by determining the errors in a calibration step and then using a fixed image processing such as fixed set of pixels and sensor, or more involved processing techniques using light propagation information. In cases in which lens errors are strongly time-dependent, i.e. dependent on weather conditions in telescopes, the lens errors may be corrected by using the light propagation behind the lens, calculating extended depth of field images, using depth from focus techniques, and others.
As outlined above, the detector according to the present invention may further allow for color detection. For color detection in stacks of several pixelated sensors, the single stacks may have pixels that have different absorption properties, equal or similar to the so-called Bayer pattern, and color information may be obtained by interpolation techniques. A further method is to use sensors of alternating color, wherein different sensors in the stack may record different colors. In a Bayer pattern, color may be interpolated between same-color pixels. In a stack of sensors, the image information such as color and brightness, etc., can also be obtained by interpolation techniques.
The evaluation device may be or may comprise one or more integrated circuits, such as one or more application-specific integrated circuits (ASICs), and/or one or more data processing devices, such as one or more computers, preferably one or more microcomputers and/or microcontrollers. Additional components may be comprised, such as one or more preprocessing devices and/or data acquisition devices, such as one or more devices for receiving and/or preprocessing of the sensor signals, such as one or more AD-converters and/or one or more filters. Further, the evaluation device may comprise one or more measurement devices, such as one or more measurement devices for measuring electrical currents and/or electrical voltages. Thus, as an example, the evaluation device may comprise one or more measurement devices for measuring electrical currents through and/or electrical voltages of the pixels. Further, the evaluation device may comprise one or more data storage devices. Further, the evaluation device may comprise one or more interfaces, such as one or more wireless interfaces and/or one or more wire-bound interfaces.
The at least one evaluation device may be adapted to perform at least one computer program, such as at least one computer program adapted for performing or supporting one or more or even all of the method steps of the method according to the present invention. As an example, one or more algorithms may be implemented which, by using the sensor signals as input variables, may determine the position of the object.
The evaluation device can be connected to or may comprise at least one further data processing device that may be used for one or more of displaying, visualizing, analyzing, distributing, communicating or further processing of information, such as information obtained by the optical sensor and/or by the evaluation device: The data processing device, as an example, may be connected or incorporate at least one of a display, a projector, a monitor, an LCD, a TFT, a loudspeaker, a multichannel sound system, an LED pattern, or a further visualization device. It may further be connected or incorporate at least one of a communication device or communication interface, a connector or a port, capable of sending encrypted or unencrypted information using one or more of email, text messages, telephone, Bluetooth, Wi-Fi, infrared or internet interfaces, ports or connections. It may further be connected or incorporate at least one of a processor, a graphics processor, a CPU, an Open Multimedia Applications Platform (OMAP™}, an integrated circuit, a system on a chip such as products from the Apple A series or the Samsung S3C2 series, a microcontroller or microprocessor, one or more memory blocks such as ROM, RAM, EEPROM, or flash memory, timing sources such as oscillators or phase-locked loops, counter-timers, real-time timers, or power-on reset generators, voltage regulators, power management circuits, or DMA controllers. Individual units may further be connected by buses such as AMBA (Advanced Microcontroller Bus Architecture) buses.
The evaluation device and/or the data processing device may be connected by or have further external interfaces or ports such as one or more of serial or parallel interfaces or ports, USB, Centronics Port, FireWire, HDMI, Ethernet, Bluetooth, RFID, Wi-Fi, USART, or SPI, or analog interfaces or ports such as one or more of ADCs or DACs, or standardized interfaces or ports to further devices such as a 2D-camera device using an RGB-interface such as CameraLink. The evaluation device and/or the data processing device may further be connected by one or more of interprocessor interfaces or ports, FPGA-FPGA-interfaces, or serial or parallel interfaces ports. The evaluation device and the data processing device may further be connected to one or more of an optical disc drive, a CD-RW drive, a DVD+RW drive, a flash drive, a memory card, a disk drive, a hard disk drive, a solid state disk or a solid state hard disk.
The evaluation device and/or the data processing device may be connected by or have one or more further external connectors such as one or more of phone connectors, RCA connectors, VGA connectors, hermaphrodite connectors, USB connectors, HDMI connectors, 8P8C connectors, BCN connectors, IEC 60320 C14 connectors, optical fiber connectors, D-subminiature connectors, RF connectors, coaxial connectors, SCART connectors, XLR connectors, and/or may incorporate at least one suitable socket for one or more of these connectors.
Possible embodiments of a single device incorporating one or more of the detectors according to the present invention, the evaluation device or the data processing device, such as incorporating one or more of the optical sensor, optical systems, evaluation device, communication device, data processing device, interfaces, system on a chip, display devices, or further electronic devices, are: mobile phones, personal computers, tablet PCs, televisions, game consoles or further entertainment devices. In a further embodiment, the 3D-camera functionality which will be outlined in further detail below may be integrated in devices that are available with conventional 2D-digital cameras, without a noticeable difference in the housing or appearance of the device, where the noticeable difference for the user may only be the functionality of obtaining and or processing 3D information.
Specifically, an embodiment incorporating the detector and/or a part thereof such as the evaluation device and/or the data processing device may be: a mobile phone incorporating a display device, a data processing device, the optical sensor, optionally the sensor optics, and the evaluation device, for the functionality of a 3D camera. The detector according to the present invention specifically may be suitable for integration in entertainment devices and/or communication devices such as a mobile phone.
A further embodiment of the present invention may be an incorporation of the detector or a part thereof such as the evaluation device and/or the data processing device in a device for use in automotive, for use in autonomous driving or for use in car safety systems such as Daimler's Intelligent Drive system, wherein, as an example, a device incorporating one or more of the optical sensors, optionally one or more optical systems, the evaluation device, optionally a communication device, optionally a data processing device, optionally one or more interfaces, optionally a system on a chip, optionally one or more display devices, or optionally further electronic devices may be part of a vehicle, a car, a truck, a train, a bicycle, an airplane, a ship, a motorcycle. In automotive applications, the integration of the device into the automotive design may necessitate the integration of the optical sensor, optionally optics, or device at minimal visibility from the exterior or interior. The detector or a part thereof such as the evaluation device and/or the data processing device may be especially suitable for such integration into automotive design.
As used herein, the term light generally refers to electromagnetic radiation in one or more of the visible spectral range, the ultraviolet spectral range and the infrared spectral range. Therein, the term visible spectral range generally refers to a spectral range of 380 nm to 780 nm. The term infrared spectral range generally refers to electromagnetic radiation in the range of 780 nm to 1 mm, preferably in the range of 780 nm to 3.0 micrometers. The term ultraviolet spectral range generally refers to electromagnetic radiation in the range of 1 nm to 380 nm, preferably in the range of 100 nm to 380 nm. Preferably, light as used within the present invention is visible light, i.e. light in the visible spectral range.
The term light beam generally refers to an amount of light emitted and/or reflected into a specific direction. Thus, the light beam may be a bundle of the light rays having a predetermined extension in a direction perpendicular to a direction of propagation of the light beam. Preferably, the light beams may be or may comprise one or more Gaussian light beams which may be characterized by one or more Gaussian beam parameters, such as one or more of a beam waist, a Rayleigh-length or any other beam parameter or combination of beam parameters suited to characterize a development of a beam diameter and/or a beam propagation in space.
As outlined above, preferably, specifically in case a plurality of optical sensors is provided, at least one of the optical sensors is a transparent optical sensor. Thus, in case a stack of the optical sensors is provided, preferably all optical sensors of the plurality and/or the stack or all optical sensors of the plurality and/or the stack but one optical sensor are transparent. As an example, in case a stack of optical sensors is provided, wherein the optical sensors are arranged along the optical axis of the detector, preferably all optical sensors but the last optical sensor furthest away from the object may be transparent optical sensors. The last optical sensor, i.e. the optical sensor on the side of the stack facing away from the object, may be a transparent optical sensor or an intransparent optical sensor. Exemplary embodiments will be given below.
As outlined above, the optical sensor preferably comprises an organic photodetector such as an organic solar cell and/or an sDSC. In order to provide a transparent optical sensor, the optical sensor may have two transparent electrodes. Thus, at least one first electrode and/or the at least one second electrode of the optical sensor preferably may fully or partially be transparent. In order to provide a transparent electrode, a transparent conductive oxide may be used (TCO), such as indium-doped tin oxide (ITO) and/or fluorine-doped tin oxide (FTO). Additionally or alternatively, metal layers may be used, such as thin layers of one or more metal selected from the group consisting of Al, Ag, Au and Pt, such as metal layers having a thickness of below 50 nm, preferably below 40 nm. In order to support connectivity, additionally or alternatively, conductive organic materials may be used, such as conductive polymers. Thus, as an example, one or more of the electrodes of the at least one optical sensor may comprise one or more transparent conductive polymers. As an example, one or more conductive polymer films having a surface conductivity of at least 0.00001 S/cm, at least 0.001 S/cm or at least 0.01 S/cm may be used, preferably of at least 0.1 S/cm or, more preferably, of at least 1 S/cm or even at least 10 S/cm or at least 100 S/cm. As an example, the at least one conductive polymer may be selected from the group consisting of: a poly-3,4-ethylenedioxythiophene (PEDOT), preferably PEDOT being electrically doped with at least one counter ion, more preferably PEDOT doped with sodium polystyrene sulfonate (PEDOT:PSS); a polyaniline (PANI); a polythiophene. Preferably, the conductive polymer provides an electric resistivity of 0.1-20 kΩ between the partial electrodes, preferably an electric resistivity of 0.5-5.0 kΩ and, more preferably, an electric resistivity of 1.0-3.0 kΩ. Generally, as used herein, a conductive material may be a material which has a specific electrical resistance of less than 104, less than 103, less than 102, or of less than 10 Ωm. Preferably, the conductive material has a specific electrical resistance of less than 10−1, less than 10−2, less than 10−3, less than 10−5, or less than 10−6 Ωm. Most preferably, the specific electrical resistance of the conductive material is less than 5× 10−7 Ωm or is less than 1×10−7 Ωm, particularly in the range of the specific electrical resistance of aluminum.
Generally, the optical sensor may comprise an arbitrary optical sensor having a plurality of pixels arranged in a matrix. The optical sensor, as outlined above and for reasons of example only, may comprise at least one semiconductor detector, in particular an organic semiconductor detector comprising at least one organic material, preferably an organic solar cell and particularly preferably a dye solar cell or dye-sensitized solar cell, in particular a solid dye solar cell or a solid dye-sensitized solar cell. Preferably, the optical sensor is or comprises a DSC or sDSC. Thus, preferably, the optical sensor comprises at least one first electrode, at least one n-semiconducting metal oxide, at least one dye, at least one p-semiconducting organic material, preferably a solid p-semiconducting organic material, and at least one second electrode. In a preferred embodiment, the optical sensor comprises at least one DSC or, more preferably, at least one sDSC. As outlined above, preferably, the at least one optical sensor is a transparent optical sensor or comprises at least one transparent optical sensor. Thus, preferably, both the first electrode and the second electrode are transparent or, in case a plurality of optical sensors is provided, at least one of the optical sensors is designed such that both the first electrode and the second electrode are transparent. As outlined above, in case a stack of optical sensors is provided, preferably all optical sensors of the stack are transparent but the last optical sensor of the stack furthest away from the object. The last optical sensor may be transparent or intransparent. In the latter case, the last optical sensor may be designed such that its electrode facing towards the object is transparent, whereas its electrode facing away from the object may be intransparent.
As outlined above, the detector preferably has a plurality of optical sensors. More preferably, the plurality of optical sensors is stacked, such as along the optical axis of the detector. Thus, the optical sensors may form an optical sensor stack. The optical sensor stack preferably may be oriented such that the sensor regions of the optical sensors are oriented perpendicular to the optical axis. Thus, as an example, sensor areas or sensor surfaces of the single optical sensors may be oriented in parallel, wherein slight angular tolerances might be tolerable, such as angular tolerances of no more than 100, preferably of no more than 5°.
In case stacked optical sensors are provided, the at least one transversal optical sensor preferably fully or partially may be located on a side of the stacked optical sensors facing towards the object. The at least one optional transversal optical sensor may as well be part of the sensor stack. Generally, any other arrangement is feasible. The optical sensors preferably are arranged such that the at least one light beam traveling from the object towards the detector illuminates all optical sensors, preferably sequentially. For the purpose of normalizing the sensor signals of the optical sensors, use may be made of the fact that, in case the single longitudinal sensor signals are generated by one and the same light beam, differences in the single longitudinal sensor signals are generally only due to differences in the cross-sections of the light beam at the location of the respective sensor regions of the single optical sensors. Thus, by comparing the single longitudinal sensor signals, information on a beam cross-section may be generated even if the overall power of the light beam is unknown.
Further, the above-mentioned stacking of the optical sensors and the generation of a plurality of longitudinal sensor signals by these stacked optical sensors may be used by the evaluation device in order to resolve an ambiguity in a known relationship between a beam cross-section of the light beam and the longitudinal coordinate of the beacon device. Thus, even if the beam properties of the light beam propagating from the beacon device to the detector are known fully or partially, it is known that, in many beams, the beam cross-section narrows before reaching a focal point and, afterwards, widens again. Such is the case e.g. for Gaussian light beams. Thus, before and after a focal point in which the light beam has the narrowest beam cross-section, positions along the axis of propagation of the light beam occur in which the light beam has the same cross-section. Thus, as an example, at a distance z0 before and after the focal point, the cross-section of the light beam is identical. Thus, in case only one optical sensor is used, a specific cross-section of the light beam might be determined, in case the overall power or intensity of the light beam is known. By using this information, the distance z0 of the respective optical sensor from the focal point might be determined. However, in order to determine whether the respective optical sensor is located before or behind the focal point, additional information may be required, such as a history of movement of the object and/or the detector and/or information on whether the detector is located before or behind the focal point. In typical situations, this additional information may not be available. Therefore, by using a plurality of optical sensors, additional information may be gained in order to resolve the above-mentioned ambiguity. Thus, in case the evaluation device, by evaluating the longitudinal sensor signals, recognizes that the beam cross-section of the light beam on a first optical sensor is larger than the beam cross-section of the light beam on a second optical sensor, wherein the second optical sensor is located behind the first optical sensor, the evaluation device may determine that the light beam is still narrowing and that the location of the first optical sensor is situated before the focal point of the light beam. Contrarily, in case the beam cross-section of the light beam on the first optical sensor is smaller than the beam cross-section of the light beam on the second optical sensor, the evaluation device may determine that the light beam is widening and that the location of the second optical sensor is situated behind the focal point. Thus, generally, the evaluation device may be adapted to recognize whether the light beam widens or narrows, by comparing the longitudinal sensor signals of different longitudinal sensors.
The optical sensor stack preferably may comprise at least three optical sensors, more preferably at least four optical sensors, even more preferably at least five optical sensors or even at least six optical sensors. By tracking the longitudinal sensor signals of the optical sensors, even a beam profile of the light beam might be evaluated.
As used herein and as used in the following, the diameter of the light beam or, equivalently, a beam waist or twice the beam waist of the light beam might be used to characterize the beam cross-section of the light beam at a specific location. As outlined above, a known relationship might be used between the longitudinal position of the object and/or the respective beacon device, i.e. the beacon device emitting and/or reflecting the light beam, and the beam cross-section in order to determine the longitudinal coordinate of the beacon device by evaluating the at least one longitudinal sensor signal. As an example, as outlined above, a Gaussian relationship might be used, assuming that the light beam propagates at least approximately in a Gaussian manner. For this purpose, the light beam might be shaped appropriately, such as by using an illumination source generating a light beam having known propagation properties, such as a known Gaussian profile. For this purpose, the illumination source itself may generate the light beam having the known properties, which, for example, is the case for many types of lasers, as the skilled person knows. Additionally or alternatively, the illumination source and/or the detector may have one or more transfer devices, such as one or more beam-shaping elements, such as one or more lenses and/or one or more diaphragms, in order to provide a light beam having known properties, as the skilled person will recognize. Thus, as an example, one or more transfer devices may be provided, such as one or more transfer devices having known beam-shaping properties. Additionally or alternatively, the illumination source and/or the detector, such as the at least one optional transfer device, may have one or more wavelength-selective elements, such as one or more filters, such as one or more filter elements for filtering out wavelengths outside an excitation maximum of the at least one transversal optical sensor and/or the at least one optical sensor.
Thus, generally, the evaluation device may be adapted to compare the beam cross-section and/or the diameter of the light beam with known beam properties of the light beam in order to determine the at least one item of information on the longitudinal position of the object, preferably from a known dependency of a beam diameter of the light beam on at least one propagation coordinate in a direction of propagation of the light beam and/or from a known Gaussian profile of the light beam.
As outlined above, the at least one optical sensor or pixelated sensor of the detector, as an example, may be or may comprise at least one organic optical sensor. As an example, the at least one optical sensor may be or may comprise at least one organic solar cell, such as at least one dye-sensitized solar cell (DSC), preferably at least one solid DSC or sDSC. Specifically, the at least one optical sensor may be or may comprise at least one optical sensor capable of showing an effect of the sensor signal being dependent on a photon density or flux of photons. In FiP sensors, given the same total power p of illumination, the sensor signal i is generally dependent on a flux F of photons, i.e. the number of photons per unit area. In other words, the at least one optical sensor may comprise at least one optical sensor which is defined as a FiP sensor, i.e. as an optical sensor capable of providing a sensor signal, the sensor having at least one sensor region, such as a plurality of sensor regions like e.g. pixels, wherein the sensor signal, given the same total power of illumination of the sensor region by the light beam, is dependent on a geometry of the illumination, in particular on a beam cross section of the illumination on the sensor area. This effect including potential embodiments of optical sensors exhibiting this effect (such as sDSCs) is disclosed in further detail in WO 2012/110924 A1, in US provisional applications 61/739,173, filed on Dec. 19, 2012, 61/749,964, filed on Jan. 8, 2013, and 61/867,169, filed on Aug. 19, 2013, and international patent application PCT/IB2013/061095, filed on Dec. 18, 2013. The embodiments of optical sensors exhibiting the FiP effect as disclosed in these prior art documents, which all are included herewith by reference, may also be used as optical sensors in the detector according to the present invention, besides the fact that the optical sensors or at least one of the optical sensors are pixelated. Thus, the optical sensors as used in one or more of the above-mentioned prior art documents, in a pixelated fashion, may also be used in the context of the present invention. A pixelation may simply be achieved by an appropriate patterning of the first and/or second electrodes of these optical sensors. Thus, each of the pixels of the pixelated optical sensors exhibiting the above-mentioned FiP-effect may, by itself, form a FiP sensor.
Thus, the detector according to the present invention specifically may fully or partially be embodied as a pixelated FiP camera, i.e. as a camera in which the at least one optical sensor or, in case a plurality of optical sensors is provided, at least one of the optical sensors, are embodied as pixelated FiP sensors. In pixeled FiP-cameras, pictures may be recorded in a similar way as disclosed above in the setup of the light-field camera. Thus, the detector may comprise a stack of optical sensors, each optical sensor being embodied as a pixelated FiP sensor. Pictures may be recorded at different distances from the lens. A depth can be calculated from these pictures using approaches such as depth-from-focus and/or depth-from-defocus.
The FiP measurement typically necessitates two or more FiP sensors such as organic solar cells exhibiting the FiP effect. The photon density on the different cells may vary as such, that a current ratio of at least 1/100 is obtained between a cell close to focus and a cell out of focus. If the ratio is closer to 1, the measurement may be imprecise.
The at least one evaluation device may specifically be embodied to compare signals generated by pixels of different optical sensors, the pixels being located on a line parallel to an optical axis of the detector. A light cone of the light beam might cover a single pixel in the focus region. In the out-of-focus region, only a small part of the light cone will cover the pixel. Thus, in a stack of pixelated FiP sensors, the signal of the pixel of the sensor being out of focus will generally be much smaller than the signal of the pixel of the sensor being in focus. Consequently, the signal ratio will improve. For a calculation of the distance between the object and the detector, more than two optical sensors may be used in order to further increase the precision.
Thus, generally, the at least one optical sensor may comprise at least one stack of optical sensors, each optical sensor having at least one sensor region and being capable of providing at least one sensor signal, wherein the sensor signal, given the same total power of illumination of the sensor region by the light beam, is dependent on a geometry of the illumination, in particular on a beam cross section of the illumination on the sensor area, wherein the evaluation device may be adapted to compare at least one sensor signal generated by at least one pixel of a first one of the optical sensors with at least one sensor signal generated by at least one pixel of a second one of the optical sensors, specifically for determining a distance between the object and the detector and/or a z-coordinate of the object. The evaluation device may further be adapted for evaluating the sensor signals of the pixels. Thus, one or more evaluation algorithms may be used. Additionally or alternatively, other means of evaluation may be used, such as by using one or more lookup tables, such as one or more lookup tables comprising FiP sensor signal values or ratios thereof and corresponding z-coordinates of the object and/or corresponding distances between the object and the detector. An analysis of several FiP-signals, taking into account the distance to the lens and/or a distance between the optical sensors may also result in information regarding the light beam, such as the spread of the light beam and, thus, the conventional FiP-distance.
As outlined above, the present invention further relates to a human-machine interface for exchanging at least one item of information between a user and a machine. The human-machine interface as proposed may make use of the fact that the above-mentioned detector in one or more of the embodiments mentioned above or as mentioned in further detail below may be used by one or more users for providing information and/or commands to a machine. Thus, preferably, the human-machine interface may be used for inputting control commands.
Generally, as used herein, the at least one position of the user may imply one or more items of information on a position of the user as a whole and/or one of or more body parts of the user. Thus, preferably, the position of the user may imply one or more items of information on a position of the user as provided by the evaluation device of the detector. The user, a body part of the user or a plurality of body parts of the user may be regarded as one or more objects the position of which may be detected by the at least one detector device. Therein, precisely one detector may be provided, or a combination of a plurality of detectors may be provided. As an example, a plurality of detectors may be provided for determining positions of a plurality of body parts of the user and/or for determining a position of at least one body part of the user.
The detector according to the present invention, comprising the at least one optical sensor and the at least one evaluation device, may further be combined with one or more other types of sensors or detectors. Thus, the detector comprising the at least one optical sensor having the matrix of pixels (in the following also simply referred to as the pixelated optical sensor and/or the pixelated sensor) and the at least one evaluation device may further comprise at least one additional detector. The at least one additional detector may be adapted for detecting at least one parameter, such as at least one of: a parameter of a surrounding environment, such as a temperature and/or a brightness of a surrounding environment; a parameter regarding a position and/or orientation of the detector; a parameter specifying a state of the object to be detected, such as a position of the object, e.g. an absolute position of the object and/or an orientation of the object in space. Thus, generally, the principles of the present invention may be combined with other measurement principles in order to gain additional information and/or in order to verify measurement results or reduce measurement errors or noise.
Specifically, the detector according to the present invention may further comprise at least one time-of-flight (ToF) detector adapted for detecting at least one distance between the at least one object and the detector by performing at least one time-of-flight measurement. As used herein, a time-of-flight measurement generally refers to a measurement based on a time a signal needs for propagating between two objects or from one object to a second object and back. In the present case, the signal specifically may be one or more of an acoustic signal or an electromagnetic signal such as a light signal. A time-of-flight detector consequently refers to a detector adapted for performing a time-of-flight measurement. Time-of-flight measurements are well-known in various fields of technology such as in commercially available distance measurement devices or in commercially available flow meters, such as ultrasonic flow meters. Time-of-flight detectors even may be embodied as time-of-flight cameras. These types of cameras are commercially available as range-imaging camera systems, capable of resolving distances between objects based on the known speed of light.
Presently available ToF detectors generally are based on the use of a pulsed signal, optionally in combination with one or more light sensors such as CMOS-sensors. A sensor signal produced by the light sensor may be integrated. The integration may start at two different points in time. The distance may be calculated from the relative signal intensity between the two integration results.
Further, as outlined above, ToF cameras are known and may generally be used, also in the context of the present invention. These ToF cameras may contain pixelated light sensors. However, since each pixel generally has to allow for performing two integrations, the pixel construction generally is more complex and the resolutions of commercially available ToF cameras is rather low (typically 200×200 pixels). Distances below ˜40 cm and above several meters typically are difficult or impossible to detect. Furthermore, the periodicity of the pulses leads to ambiguous distances, as only the relative shift of the pulses within one period is measured.
ToF detectors, as standalone devices, typically suffer from a variety of shortcomings and technical challenges. Thus, in general, ToF detectors and, more specifically, ToF cameras suffer from rain and other transparent objects in the light path, since the pulses might be reflected too early, objects behind the raindrop are hidden, or in partial reflections the integration will lead to erroneous results. Further, in order to avoid errors in the measurements and in order to allow for a clear distinction of the pulses, low light conditions are preferred for ToF-measurements. Bright light such as bright sunlight can make a ToF-measurement impossible. Further, the energy consumption of typical ToF cameras is rather high, since pulses must be bright enough to be back-reflected and still be detectable by the camera. The brightness of the pulses, however, may be harmful for eyes or other sensors or may cause measurement errors when two or more ToF measurements interfere with each other. In summary, current ToF detectors and, specifically, current ToF-cameras suffer from several disadvantages such as low resolution, ambiguities in the distance measurement, limited range of use, limited light conditions, sensitivity towards transparent objects in the light path, sensitivity towards weather conditions and high energy consumption. These technical challenges generally lower the aptitude of present ToF cameras for daily applications such as for safety applications in cars, cameras for daily use or human-machine-interfaces, specifically for use in gaming applications.
In combination with the detector according to the present invention, having the at least one optical sensor comprising the matrix of pixels and as well as the above-mentioned principle of evaluating the number of illuminated pixels, the advantages and capabilities of both systems may be combined in a fruitful way. Thus, the detector may provide advantages at bright light conditions, while the ToF detector generally provides better results at low-light conditions. A combined device, i.e. a detector according to the present invention further including at least one ToF detector, therefore provides increased tolerance with regard to light conditions as compared to both single systems. This is especially important for safety applications, such as in cars or other vehicles.
Specifically, the detector may be designed to use at least one ToF measurement for correcting at least one measurement performed by using the detector according to the present invention and vice versa. Further, the ambiguity of a ToF measurement may be resolved by using the detector. A measurement using the pixelated detector specifically may be performed whenever an analysis of ToF measurements results in a likelihood of ambiguity. Additionally or alternatively, measurements using the pixelated detector may be performed continuously in order to extend the working range of the ToF detector into regions which are usually excluded due to the ambiguity of ToF measurements. Additionally or alternatively, the pixelated detector may cover a broader or an additional range to allow for a broader distance measurement region. The pixelated detector, specifically the pixelated camera, may further be used for determining one or more important regions for measurements to reduce energy consumption or to protect eyes. Thus the pixelated detector may be adapted for detecting one or more regions of interest. Additionally or alternatively, the pixelated detector may be used for determining a rough depth map of one or more objects within a scene captured by the detector, wherein the rough depth map may be refined in important regions by one or more ToF measurements. Further, the pixelated detector may be used to adjust the ToF detector, such as the ToF camera, to the required distance region. Thereby, a pulse length and/or a frequency of the ToF measurements may be pre-set, such as for removing or reducing the likelihood of ambiguities in the ToF measurements. Thus, generally, the pixelated detector may be used for providing an autofocus for the ToF detector, such as for the ToF camera.
As outlined above, a rough depth map may be recorded by the pixelated detector, such as the pixelated camera. Further, the rough depth map, containing depth information or z-information regarding one or more objects within a scene captured by the detector, may be refined by using one or more ToF measurements. The ToF measurements specifically may be performed only in important regions. Additionally or alternatively, the rough depth map may be used to adjust the ToF detector, specifically the ToF camera.
Further, the use of the pixelated detector in combination with the at least one ToF detector may solve the above-mentioned problem of the sensitivity of ToF detectors towards the nature of the object to be detected or towards obstacles or media within the light path between the detector and the object to be detected, such as the sensitivity towards rain or weather conditions. A combined pixelated/ToF measurement may be used to extract the important information from ToF signals, or measure complex objects with several transparent or semi-transparent layers. Thus, objects made of glass, crystals, liquid structures, phase transitions, liquid motions, etc. may be observed. Further, the combination of a pixelated detector and at least one ToF detector will still work in rainy weather, and the overall detector will generally be less dependent on weather conditions. As an example, measurement results provided by the pixelated detector may be used to remove the errors provoked by rain from ToF measurement results, which specifically renders this combination useful for safety applications such as in cars or other vehicles.
The implementation of at least one ToF detector into the detector according to the present invention may be realized in various ways. Thus, the at least one pixelated detector and the at least one ToF detector may be arranged in a sequence, within the same light path. As an example, at least one transparent pixelated detector may be placed in front of at least one ToF detector. Additionally or alternatively, separate light paths or split light paths for the pixelated detector and the ToF detector may be used. Therein, as an example, light paths may be separated by one or more beam-splitting elements, such as one or more of the beam splitting elements listed above or listed in further detail below. As an example, a separation of beam paths by wavelength-selective elements may be performed. Thus, e.g., the ToF detector may make use of infrared light, whereas the pixelated detector may make use of light of a different wavelength. In this example, the infrared light for the ToF detector may be separated off by using a wavelength-selective beam splitting element such as a hot mirror. Additionally or alternatively, light beams used for the measurement using the pixelated detector and light beams used for the ToF measurement may be separated by one or more beam-splitting elements, such as one or more semitransparent mirrors, beam-splitter cubes, polarization beam splitters or combinations thereof. Further, the at least one pixelated detector and the at least one ToF detector may be placed next to each other in the same device, using distinct optical pathways. Various other setups are feasible.
The at least one optional ToF detector may be combined with basically any of the embodiments of the detector according to the present invention. Specifically, the at least one ToF detector which may be a single ToF detector or a ToF camera, may be combined with a single optical sensor or with a plurality of optical sensors such as a sensor stack. Further, the detector may also comprise one or more imaging devices such as one or more inorganic imaging devices like CCD chips and/or CMOS chips, preferably one or more full-color CCD chips or full-color CMOS chips. Additionally or alternatively, the detector may further comprise one or more thermographic cameras.
As outlined above, the human-machine interface may comprise a plurality of beacon devices which are adapted to be at least one of directly or indirectly attached to the user and held by the user. Thus, the beacon devices each may independently be attached to the user by any suitable means, such as by an appropriate fixing device. Additionally or alternatively, the user may hold and/or carry the at least one beacon device or one or more of the beacon devices in his or her hands and/or by wearing the at least one beacon device and/or a garment containing the beacon device on a body part.
The beacon device generally may be an arbitrary device which may be detected by the at least one detector and/or which facilitates detection by the at least one detector. Thus, as outlined above or as will be outlined in further detail below, the beacon device may be an active beacon device adapted for generating the at least one light beam to be detected by the detector, such as by having one or more illumination sources for generating the at least one light beam. Additionally or alternatively, the beacon device may fully or partially be designed as a passive beacon device, such as by providing one or more reflective elements adapted to reflect a light beam generated by a separate illumination source. The at least one beacon device may permanently or temporarily be attached to the user in a direct or indirect way and/or may be carried or held by the user. The attachment may take place by using one or more attachment means and/or by the user himself or herself, such as by the user holding the at least one beacon device by hand and/or by the user wearing the beacon device.
Additionally or alternatively, the beacon devices may be at least one of attached to an object and integrated into an object held by the user, which, in the sense of the present invention, shall be included into the meaning of the option of the user holding the beacon devices. Thus, as will be outlined in further detail below, the beacon devices may be attached to or integrated into a control element which may be part of the human-machine interface and which may be held or carried by the user, and of which the orientation may be recognized by the detector device. Thus, generally, the present invention also refers to a detector system comprising at least one detector device according to the present invention and which, further, may comprise at least one object, wherein the beacon devices are one of attached to the object, held by the object and integrated into the object. As an example, the object preferably may form a control element, the orientation of which may be recognized by a user. Thus, the detector system may be part of the human-machine interface as outlined above or as outlined in further detail below. As an example, the user may handle the control element in a specific way in order to transmit one or more items of information to a machine, such as in order to transmit one or more commands to the machine.
Alternatively, the detector system may be used in other ways. Thus, as an example, the object of the detector system may be different from a user or a body part of the user and, as an example, may be an object which moves independently from the user. As an example, the detector system may be used for controlling apparatuses and/or industrial processes, such as manufacturing processes and/or robotics processes. Thus, as an example, the object may be a machine and/or a machine part, such as a robot arm, the orientation of which may be detected by using the detector system.
The human-machine interface may be adapted in such a way that the detector device generates at least one item of information on the position of the user or of at least one body part of the user. Specifically in case a manner of attachment of the at least one beacon device to the user is known, by evaluating the position of the at least one beacon device, at least one item of information on a position and/or an orientation of the user or of a body part of the user may be gained.
The beacon device preferably is one of a beacon device attachable to a body or a body part of the user and a beacon device which may be held by the user. As outlined above, the beacon device may fully or partially be designed as an active beacon device. Thus, the beacon device may comprise at least one illumination source adapted to generate at least one light beam to be transmitted to the detector, preferably at least one light beam having known beam properties. Additionally or alternatively, the beacon device may comprise at least one reflector adapted to reflect light generated by an illumination source, thereby generating a reflected light beam to be transmitted to the detector.
The object, which may form part of the detector system, may generally have an arbitrary shape. Preferably, the object being part of the detector system, as outlined above, may be a control element which may be handled by a user, such as manually. As an example, the control element may be or may comprise at least one element selected from the group consisting of: a glove, a jacket, a hat, shoes, trousers and a suit; a stick that may be held by hand; a bat; a club; a racket; a cane; a toy, such as a toy gun. Thus, as an example, the detector system may be part of the human-machine interface and/or of the entertainment device.
As used herein, an entertainment device is a device which may serve the purpose of leisure and/or entertainment of one or more users, in the following also referred to as one or more players. As an example, the entertainment device may serve the purpose of gaming, preferably computer gaming. Thus, the entertainment device may be implemented into a computer, a computer network or a computer system or may comprise a computer, a computer network or a computer system which runs one or more gaming software programs.
The entertainment device comprises at least one human-machine interface according to the present invention, such as according to one or more of the embodiments disclosed above and/or according to one or more of the embodiments disclosed below. The entertainment device is designed to enable at least one item of information to be input by a player by means of the human-machine interface. The at least one item of information may be transmitted to and/or may be used by a controller and/or a computer of the entertainment device.
The at least one item of information preferably may comprise at least one command adapted for influencing the course of a game. Thus, as an example, the at least one item of information may include at least one item of information on at least one orientation of the player and/or of one or more body parts of the player, thereby allowing for the player to simulate a specific position and/or orientation and/or action required for gaming. As an example, one or more of the following movements may be simulated and communicated to a controller and/or a computer of the entertainment device: dancing; running; jumping; swinging of a racket; swinging of a bat; swinging of a club; pointing of an object towards another object, such as pointing of a toy gun towards a target.
The entertainment device as a part or as a whole, preferably a controller and/or a computer of the entertainment device, is designed to vary the entertainment function in accordance with the information. Thus, as outlined above, a course of a game might be influenced in accordance with the at least one item of information. Thus, the entertainment device might include one or more controllers which might be separate from the evaluation device of the at least one detector and/or which might be fully or partially identical to the at least one evaluation device or which might even include the at least one evaluation device. Preferably, the at least one controller might include one or more data processing devices, such as one or more computers and/or microcontrollers.
As further used herein, a tracking system is a device which is adapted to gather information on a series of past positions of the at least one object and/or at least one part of the object. Additionally, the tracking system may be adapted to provide information on at least one predicted future position and/or orientation of the at least one object or the at least one part of the object. The tracking system may have at least one track controller, which may fully or partially be embodied as an electronic device, preferably as at least one data processing device, more preferably as at least one computer or microcontroller. Again, the at least one track controller may fully or partially comprise the at least one evaluation device and/or may be part of the at least one evaluation device and/or may fully or partially be identical to the at least one evaluation device.
The tracking system comprises at least one detector according to the present invention, such as at least one detector as disclosed in one or more of the embodiments listed above and/or as disclosed in one or more of the embodiments below. The tracking system further comprises at least one track controller. The track controller is adapted to track a series of positions of the object at specific points in time, such as by recording groups of data or data pairs, each group of data or data pair comprising at least one position information and at least one time information.
The tracking system may further comprise the at least one detector system according to the present invention. Thus, besides the at least one detector and the at least one evaluation device and the optional at least one beacon device, the tracking system may further comprise the object itself or a part of the object, such as at least one control element comprising the beacon devices or at least one beacon device, wherein the control element is directly or indirectly attachable to or integratable into the object to be tracked.
The tracking system may be adapted to initiate one or more actions of the tracking system itself and/or of one or more separate devices. For the latter purpose, the tracking system, preferably the track controller, may have one or more wireless and/or wire-bound interfaces and/or other types of control connections for initiating at least one action. Preferably, the at least one track controller may be adapted to initiate at least one action in accordance with at least one actual position of the object. As an example, the action may be selected from the group consisting of: a prediction of a future position of the object; pointing at least one device towards the object; pointing at least one device towards the detector; illuminating the object; illuminating the detector.
As an example of application of a tracking system, the tracking system may be used for continuously pointing at least one first object to at least one second object even though the first object and/or the second object might move. Potential examples, again, may be found in industrial applications, such as in robotics and/or for continuously working on an article even though the article is moving, such as during manufacturing in a manufacturing line or assembly line. Additionally or alternatively, the tracking system might be used for illumination purposes, such as for continuously illuminating the object by continuously pointing an illumination source to the object even though the object might be moving. Further applications might be found in communication systems, such as in order to continuously transmit information to a moving object by pointing a transmitter towards the moving object.
The optional transfer device can, as explained above, be designed to feed light propagating from the object to the detector to the optical sensor, preferably successively. As explained above, this feeding can optionally be effected by means of imaging or else by means of non-imaging properties of the transfer device. In particular the transfer device can also be designed to collect the electromagnetic radiation before the latter is fed to the optical sensor. The optional transfer device can also, as explained in even greater detail below, be wholly or partly a constituent part of at least one optional illumination source, for example by the illumination source being designed to provide a light beam having defined optical properties, for example having a defined or precisely known beam profile, for example at least one Gaussian beam, in particular at least one laser beam having a known beam profile.
For potential embodiments of the optional illumination source, reference may be made to WO 2012/110924 A1. Still, other embodiments are feasible. Light emerging from the object can originate in the object itself, but can also optionally have a different origin and propagate from this origin to the object and subsequently toward the transversal and/or longitudinal optical sensor. The latter case can be effected for example by at least one illumination source being used. This illumination source can for example be or comprise an ambient illumination source and/or may be or may comprise an artificial illumination source. By way of example, the detector itself can comprise at least one illumination source, for example at least one laser and/or at least one incandescent lamp and/or at least one semiconductor illumination source, for example, at least one light-emitting diode, in particular an organic and/or inorganic light-emitting diode. On account of their generally defined beam profiles and other properties of handleability, the use of one or a plurality of lasers as illumination source or as part thereof, is particularly preferred. The illumination source itself can be a constituent part of the detector or else be formed independently of the detector. The illumination source can be integrated in particular into the detector, for example a housing of the detector. Alternatively or additionally, at least one illumination source can also be integrated into the at least one beacon device or into one or more of the beacon devices and/or into the object or connected or spatially coupled to the object.
The light emerging from the beacon devices can accordingly, alternatively or additionally from the option that said light originates in the respective beacon device itself, emerge from the illumination source and/or be excited by the illumination source. By way of example, the electromagnetic radiation emerging from the beacon device can be emitted by the beacon device itself and/or be reflected by the beacon device and/or be scattered by the beacon device before it is fed to the detector. In this case, emission and/or scattering of the electromagnetic radiation can be effected without spectral influencing of the electromagnetic radiation or with such influencing. Thus, by way of example, a wavelength shift can also occur during scattering, for example according to Stokes or Raman. Furthermore, emission of light can be excited, for example, by a primary illumination source, for example by the object or a partial region of the object being excited to generate luminescence, in particular phosphorescence and/or fluorescence. Other emission processes are also possible, in principle. If a reflection occurs, then the object can have for example at least one reflective region, in particular at least one reflective surface. Said reflective surface can be a part of the object itself, but can also be for example a reflector which is connected or spatially coupled to the object, for example a reflector plaque connected to the object. If at least one reflector is used, then it can in turn also be regarded as part of the detector which is connected to the object, for example, independently of other constituent parts of the detector.
The beacon devices and/or the at least one optional illumination source independently from each other and generally may emit light in at least one of: the ultraviolet spectral range, preferably in the range of 200 nm to 380 nm; the visible spectral range (380 nm to 780 nm); the infrared spectral range, preferably in the range of 780 nm to 3.0 micrometers. Most preferably, the at least one illumination source is adapted to emit light in the visible spectral range, preferably in the range of 500 nm to 780 nm, most preferably at 650 nm to 750 nm or at 690 nm to 700 nm.
The feeding of the light beam to the optical sensor can be effected in particular in such a way that a light spot, for example having a round, oval or differently configured cross section, is produced on the optional sensor area of the optical sensor. By way of example, the detector can have a visual range, in particular a solid angle range and/or spatial range, within which objects can be detected. Preferably, the optional transfer device is designed in such a way that the light spot, for example in the case of an object arranged within a visual range of the detector, is arranged completely on a sensor region and/or on a sensor area of the optical sensor. By way of example, a sensor area can be chosen to have a corresponding size in order to ensure this condition.
The evaluation device can comprise in particular at least one data processing device, in particular an electronic data processing device, which can be designed to generate the at least one item of information on the position of the object. Thus, the evaluation device may be designed to use the number of illuminated pixels of the optical sensor or of each optical sensor as input variables and to generate the at least one item of information on the position of the object by processing these input variables. The processing can be done in parallel, subsequently or even in a combined manner. The evaluation device may use an arbitrary process for generating these items of information, such as by calculation and/or using at least one stored and/or known relationship. The relationship can be a predetermined analytical relationship or can be determined or determinable empirically, analytically or else semi-empirically. Particularly preferably, the relationship comprises at least one calibration curve, at least one set of calibration curves, at least one function or a combination of the possibilities mentioned. One or a plurality of calibration curves can be stored for example in the form of a set of values and the associated function values thereof, for example in a data storage device and/or a table. Alternatively or additionally, however, the at least one calibration curve can also be stored for example in parameterized form and/or as a functional equation.
By way of example, the evaluation device can be designed in terms of programming for the purpose of determining the items of information. The evaluation device can comprise in particular at least one computer, for example at least one microcomputer. Furthermore, the evaluation device can comprise one or a plurality of volatile or nonvolatile data memories. As an alternative or in addition to a data processing device, in particular at least one computer, the evaluation device can comprise one or a plurality of further electronic components which are designed for determining the items of information, for example an electronic table and in particular at least one look-up table and/or at least one application-specific integrated circuit (ASIC).
Overall, in the context of the present invention, the following embodiments are regarded as preferred:
A detector for determining a position of at least one object, the detector comprising:
The detector according to the preceding embodiment, wherein the optical sensor is adapted to generate at least one signal indicating an intensity of illumination for each of the pixels.
The detector according to the preceding embodiment, wherein the evaluation device is adapted to compare, for each of the pixels, the signal to at least one threshold in order to determine whether the pixel is an illuminated pixel or not.
The detector according to the preceding embodiment, wherein the evaluation device is adapted to determine at least one pixel having the highest illumination out of the pixels by comparing the signals of the pixels.
The detector according to the preceding embodiment, wherein the evaluation device is further adapted to choose the threshold as a fraction of the signal of the at least one pixel having the highest illumination.
The detector according to the preceding embodiment, wherein the evaluation device is adapted to choose the threshold by multiplying the signal of the at least one pixel having the highest illumination with a factor of 1/e2.
The detector according to any one of the preceding embodiments, wherein the evaluation device is adapted to determine the longitudinal coordinate of the object by using a predetermined relationship between the number N of pixels which are illuminated by the light beam and the longitudinal coordinate.
The detector according to the preceding embodiment, wherein the predetermined relationship is based on the assumption of the light beam being a Gaussian light beam.
The detector according to any one of the two preceding embodiments, wherein the predetermined relationship is
The detector according to any one of the preceding embodiments, wherein the matrix of pixels is a two-dimensional matrix.
The detector according to any one of the preceding embodiments, wherein the matrix of pixels is a rectangular matrix.
The detector according to any one of the preceding embodiments, wherein the detector comprises a plurality of the optical sensors.
The detector according to the preceding embodiment, wherein the optical sensors are stacked along an optical axis of the detector.
The detector according to any one of the two preceding embodiments, wherein the detector comprises n optical sensors, wherein the evaluation device is adapted to determine the number Ni of pixels which are illuminated by the light beam for each of the optical sensors, wherein i∈{1, n} denotes the respective optical sensor.
The detector according to any one of the three preceding embodiments, wherein the evaluation device is adapted to compare the number Ni of pixels which are illuminated by the light beam for each optical sensor with at least one neighboring optical sensor, thereby resolving an ambiguity in the longitudinal coordinate of the object.
The detector according to any one of the four preceding embodiments, wherein the evaluation device is adapted to normalize sensor signals of the optical sensors for a power of the light beam.
The detector according to any one of the five preceding embodiments, wherein at least one of the optical sensors is transparent.
The detector according to any one of the six preceding embodiments, wherein at least two of the optical sensors have a differing spectral sensitivity, wherein the evaluation device is adapted to determine a color of the light beam by comparing sensor signals of the optical sensors having the differing spectral sensitivity.
The detector according to any one of the preceding embodiments, wherein the evaluation device is further adapted to determine at least one transversal coordinate of the object by determining a position of the light beam on the matrix of pixels.
The detector according to the preceding embodiment, wherein the evaluation device is adapted to determine a center of illumination of the matrix by the light beam, wherein the at least one transversal coordinate of the object is determined by evaluating at least one coordinate of the center of illumination.
The detector according to the preceding embodiment, wherein the coordinate of the center of illumination is a pixel coordinate of the center of illumination.
The detector according to any one of the three preceding embodiments, wherein the evaluation device is adapted to provide at least one three-dimensional position of the object.
The detector according to any one of the preceding embodiments, wherein the detector further comprises at least one transfer device, the transfer device being adapted to guide the light beam onto the optical sensor.
The detector according to the preceding embodiment, wherein the transfer device has imaging properties.
The detector according to any one of the two preceding embodiments, wherein the transfer device comprises at least one element selected from the group consisting of a lens, a mirror, a prism, a wavelength-selective element; a diaphragm.
The detector according to any one of the preceding embodiments, wherein the optical sensor comprises at least one organic photovoltaic device.
The detector according to any one of the preceding embodiments, wherein the optical sensor comprises at least one dye-sensitized solar cell having at least one patterned electrode.
The detector according to any one of the preceding embodiments, wherein the optical sensor comprises at least one first electrode, at least one second electrode and at least one light-sensitive layer embedded in between the first electrode and the second electrode.
The detector according to the preceding embodiment, wherein the first electrode comprises a plurality of first electrode stripes and wherein the second electrode comprises a plurality of second electrode stripes, wherein the first electrode stripes are oriented perpendicular to the second electrode stripes.
The detector according to any one of the preceding embodiments, wherein the optical sensor comprises at least one first electrode, at least one n-semiconducting metal oxide, at least one dye, at least one p-semiconducting organic material, preferably a solid p-semiconducting organic material, and at least one second electrode, with the at least one n-semiconducting metal oxide, the at least one dye and the at least one p-semiconducting organic material being embedded in between the first electrode and the second electrode.
The detector according to the preceding embodiment, wherein both the first electrode and the second electrode are transparent.
The detector according to any one of the two preceding embodiments, wherein at least one of the first electrode and the second electrode is the patterned electrode.
The detector according to any one of the three preceding embodiments, wherein the first electrode comprises a plurality of first electrode stripes and wherein the second electrode comprises a plurality of second electrode stripes, wherein the first electrode stripes are oriented perpendicular to the second electrode stripes.
The detector according to any one of the four preceding embodiments, wherein at least one of the first electrode and the second electrode comprise an electrically conductive polymer.
The detector according to any one of the preceding embodiments, wherein the detector comprises at least one stack of the optical sensors, wherein the detector is adapted to acquire a three-dimensional image of a scene within a field of view of the detector.
The detector according to the preceding embodiment, wherein the optical sensors of the stack have differing spectral properties.
The detector according to the preceding embodiment, wherein the stack comprises at least one first optical sensor having a first spectral sensitivity and at least one second optical sensor having a second spectral sensitivity, wherein the first spectral sensitivity and the second spectral sensitivity are different.
The detector according to any one of the two preceding embodiments, wherein the stack comprises optical sensors having differing spectral properties in an alternating sequence.
The detector according to any one of the three preceding embodiments, wherein the detector is adapted to acquire a multicolor three-dimensional image, preferably a full-color three-dimensional image, by evaluating sensor signals of the optical sensors having differing spectral properties.
The detector according to any one of the preceding embodiments, wherein the detector further comprises at least one time-of-flight detector adapted for detecting at least one distance between the at least one object and the detector by performing at least one time-of-flight measurement.
The detector according to any one of the preceding embodiments, wherein the at least one optical sensor comprises at least one optical sensor having at least one sensor region and being capable of providing at least one sensor signal, wherein the sensor signal, given the same total power of illumination of the sensor region by the light beam, is dependent on a geometry of the illumination, in particular on a beam cross section of the illumination on the sensor area.
The detector according to any one of the preceding embodiments, wherein the at least one optical sensor comprises at least one stack of optical sensors, each optical sensor having at least one sensor region and being capable of providing at least one sensor signal, wherein the sensor signal, given the same total power of illumination of the sensor region by the light beam, is dependent on a geometry of the illumination, in particular on a beam cross section of the illumination on the sensor area, wherein the evaluation device is adapted to compare at least one sensor signal generated by at least one pixel of a first one of the optical sensors with at least one sensor signal generated by at least one pixel of a second one of the optical sensors.
A detector system for determining a position of at least one object, the detector system comprising at least one detector according to any one of the preceding embodiments, the detector system further comprising at least one beacon device adapted to direct at least one light beam towards the detector, wherein the beacon device is at least one of attachable to the object, holdable by the object and integratable into the object.
The detector system according to the preceding embodiment, wherein the beacon device comprises at least one illumination source.
The detector system according to any one of the two preceding embodiments, wherein the beacon device comprises at least one reflective device adapted to reflect a primary light beam generated by an illumination source independent from the object.
The detector system according to any one of the three preceding embodiments, wherein the detector system comprises at least two beacon devices, preferably at least three beacon devices.
The detector system according to any one of the four preceding embodiments, wherein the detector system further comprises the at least one object.
The detector system according to the preceding embodiment, wherein the object is a rigid object.
The detector system according to any one of the two preceding embodiments, wherein the object is selected from the group consisting of: an article of sports equipment, preferably an article selected from the group consisting of a racket, a club, a bat; an article of clothing; a hat; a shoe.
A human-machine interface for exchanging at least one item of information between a user and a machine, wherein the human-machine interface comprises at least one detector system according to any one of the preceding embodiments referring to a detector system, wherein the at least one beacon device is adapted to be at least one of directly or indirectly attached to the user and held by the user, wherein the human-machine interface is designed to determine at least one position of the user by means of the detector system, wherein the human-machine interface is designed to assign to the position at least one item of information.
An entertainment device for carrying out at least one entertainment function, wherein the entertainment device comprises at least one human-machine interface according to the preceding embodiment, wherein the entertainment device is designed to enable at least one item of information to be input by a player by means of the human-machine interface, wherein the entertainment device is designed to vary the entertainment function in accordance with the information.
A tracking system for tracking a position of at least one movable object, the tracking system comprising at least one detector system according to any one of the preceding embodiments referring to a detector system, the tracking system further comprising at least one track controller, wherein the track controller is adapted to track a series of positions of the object at specific points in time.
A camera for imaging at least one object, the camera comprising at least one detector according to any one of the preceding embodiments referring to a detector.
A method for determining a position of at least one object, the method comprising the following steps:
The method according to the preceding embodiment, wherein the optical sensor generates at least one signal indicating an intensity of illumination for each of the pixels.
The method according to the preceding embodiment, wherein, in the evaluation step, for each of the pixels, the signal is compared to at least one threshold in order to determine whether the pixel is an illuminated pixel or not.
The method according to the preceding embodiment, wherein, in the evaluation step, at least one pixel having the highest illumination out of the pixels is determined by comparing the signals of the pixels.
The method according to the preceding embodiment, wherein the threshold is chosen as a fraction of the signal of the at least one pixel having the highest illumination.
The method according to the preceding embodiment, wherein the threshold is chosen by multiplying the signal of the at least one pixel having the highest illumination with a factor of 1/e2.
The method according to any one of the preceding method embodiments, wherein the longitudinal coordinate of the object is determined by using a predetermined relationship between the number N of pixels which are illuminated by the light beam and the longitudinal coordinate.
The method according to the preceding embodiment, wherein the predetermined relationship is based on the assumption of the light beam being a Gaussian light beam.
The method according to any one of the two preceding embodiments, wherein the predetermined relationship is
The method according to any one of the preceding method embodiments, wherein the matrix of pixels is a two-dimensional matrix.
The method according to any one of the preceding method embodiments, wherein the matrix of pixels is a rectangular matrix.
The method according to any one of the preceding method embodiments, wherein the detector comprises a plurality of the optical sensors.
The method according to the preceding embodiment, wherein the optical sensors are stacked along an optical axis of the detector.
The method according to any one of the two preceding embodiments, wherein the detector comprises n optical sensors, wherein the number Ni of pixels which are illuminated by the light beam is determined for each of the optical sensors, wherein i∈{1, n} denotes the respective optical sensor.
The method according to any one of the three preceding embodiments, wherein the number Ni of pixels which are illuminated by the light beam for each optical sensor is compared with at least one neighboring optical sensor, thereby resolving an ambiguity in the longitudinal coordinate of the object.
The method according to any one of the four preceding embodiments, wherein the sensor signals of the optical sensors are normalized for a power of the light beam.
A use of the detector according to any one of the preceding embodiments relating to a detector, for a purpose of use, selected from the group consisting of: a position measurement in traffic technology; an entertainment application; a security application; a safety application; a human-machine interface application; a tracking application; a photography application; a use in combination with at least one time-of-flight detector.
Further optional details and features of the invention are evident from the description of preferred exemplary embodiments which follows in conjunction with the dependent claims. In this context, the particular features may be implemented alone or with several in combination. The invention is not restricted to the exemplary embodiments. The exemplary embodiments are shown schematically in the figures. Identical reference numerals in the individual figures refer to identical elements or elements with identical function, or elements which correspond to one another with regard to their functions.
Specifically, in the figures:
The detector 110, besides the one or more optical sensors 112, comprises at least one evaluation device 126. The evaluation device 126 may be connected to the optical sensors 112 by one or more connectors 128 and/or one or more interfaces. Further, the connector 128 may comprise one or more drivers and/or one or more measurement devices for generating sensor signals, as will be explained with regard to
In this exemplary embodiment, the object 118, the position of which may be detected, may be designed as an article of sports equipment and/or may form a control element 132, the position of which may be manipulated by a user 134. As an example, the object 118 may be or may comprise a bat, a record, a club or any other article of sports equipment and/or fake sports equipment. Other types of objects 118 are possible. Further, the user 134 himself or herself may be considered as the object 118, the position of which shall be detected.
As outlined above, the detector 110 comprises the plurality of optical sensors 112. The optical sensors 112 may be located inside the housing 130 of the detector 110. Further, at least one transfer device 136 may be comprised, such as one or more optical systems, preferably comprising one or more lenses 138. An opening 140 inside the housing 130, which, preferably, is located concentrically with regard to an optical axis 142 of the detector 110, preferably defines a direction of view 144 of the detector 110. A coordinate system 146 may be defined, in which a direction parallel or antiparallel to the optical axis 142 is defined as a longitudinal direction, whereas directions perpendicular to the optical axis 142 may be defined as transversal directions. In the coordinate system 146, symbolically depicted in
The detector 110 may comprise one or more of the optical sensors 112. Preferably, as depicted in
The optical sensors 112 or, at least, the optical sensors 112 besides the optical sensor 112 facing away from the object 118, preferably are transparent to light beams 150 traveling from the object 118 and/or one or more of the beacon devices 116 towards the detector 110, such that the at least one light beam 150 sequentially passes the optical sensors 112.
The detector 110 is adapted for determining a position of the at least one object 118. For this purpose, as will be explained with respect to
The detector 110 is adapted to determine a position of the object 118, and the optical sensor 112 is adapted to detect the light beam 150 traveling from the object 118 towards the detector 110, specifically from one or more of the beacon devices 116. The light beam 150, directly and/or after being modified by the transfer device 136, such as being focused by the lens 138, creates a light spot 156 on a sensor surface 158 of the optical sensor 112 or of each of the optical sensors 112. Each of the pixels 154 may be adapted to generate an individual signal, also referred to as a sensor signal or a pixel signal, which represents an intensity of illumination of the respective pixel. Thus, as an example, in
As outlined above, preferably, the matrix 152 preferably contains at least 10 pixel rows and at least 10 pixel columns. Thus, as an example, at least 20 pixel rows and at least 20 pixel columns may be present, preferably at least 50 pixel rows and 50 pixel columns and, more preferably, at least 100 pixel rows and 100 pixel columns. Thus, specifically, standard formats may be used, such as VGA and/or SVGA.
The sensor signals provided by the pixels 154 may be used to determine the position of the object 118. Thus, firstly, as outlined in
Further, as outlined above and as will be explained in further detail below, the detector 110 is adapted to determine a longitudinal coordinate of the object 118 and/or of the at least one beacon device 116. For this purpose, a diameter and/or equivalent diameter of the light spot 156 may be evaluated, as will be explained in the following.
Thus, the evaluation device 126 is adapted to determine a number N of pixels 152 which are illuminated by the light beam 150. For this purpose, a threshold method may be used, in which the sensor signals of each of the pixels 154 are compared to one or more thresholds determining whether the respective pixel 154 is illuminated or not. The one or more thresholds may determine a borderline 166 of the light spot 156, as depicted in
The threshold method may easily be implemented, as an example, by using a histogram analysis of the sensor values of one image (such as of one scan of a multiplexing scheme and/or of one image of pixels simultaneously taken), as symbolically depicted in
This distinguishing of illuminated and non-illuminated pixels allows for counting the number N of the pixels 154 which are illuminated by the light beam 150. Thus, an integration over the illuminated pixels 170 in
As given in equation (4) or, for a plurality of optical sensors 112, in equation (4′) above, the number N of illuminated pixels is proportional to the area of the light spot 156. Thus, since the diameter of any type of light beam 150 varies with propagation, by evaluating the number N of illuminated pixels, a longitudinal coordinate of the object 118 or, specifically, of one or more beacon devices 116 emitting the respective light beam 150 may be determined. As an example, by assuming Gaussian properties of the light beam 150, equations (6) and/or (6′) given above may be used. As an example, the light beam 150 itself may have Gaussian properties. Additionally or alternatively, the at least one transfer device 136 with the at least one optional lens 138 may be used for beam-shaping wherein, still, the spatial information on the longitudinal position of the object 118 or, specifically, the respective beacon device 116, is contained in the propagation properties of the shaped light beam 150.
In case the detector 110 has a narrow viewing angle, the distance between the object 118 and the detector 110 may be considered a distance in the z-dimension, only. However, since, by using the matrix 152 and e.g. the algorithm given above, transversal coordinates x and/or y may be determined in addition, the full traveling distance of the light beam 150 may easily be calculated, taking into account an offset of the respective beacon device 116 from the optical axis 152. Specifically, for objects which are located off-axis, reference may be made to the explanations regarding
As outlined above, preferably, a plurality of the optical sensors 112 is provided, such as by providing the sensor stack 148. The redundancy of the optical sensors 112 may be used in various ways.
Thus, as outlined above, by determining the number N of illuminated pixels for one of the optical sensors 112, a beam waist may be determined. However, as may easily be derived from one or more of equations (3), (6) or (6′) given above, the longitudinal coordinate z derived thereby is ambiguous with respect to the focal point. Thus, by simply determining one beam waist and/or one number N of illuminated pixels, uncertainty may arise whether the respective image was taken at a specific distance z before or after a focal point of the Gaussian light beam 150. This ambiguousness may be resolved in various ways. Thus, firstly, a movement of the detector 110 and/or the object 118 may be tracked, such as by using a series of images and/or a track controller 172 of the tracking system 124. Thus, a history of movements of the object 118 may be tracked, providing additional spatial information of the object 118 may allow for determining whether the respective optical sensor 112 is positioned before or after a focal point of the light beam 150. Additionally or alternatively, however, as will be explained with respect to
The optical sensors 112 of the sensor stack 148, as outlined above, preferably are transparent to the light beam 150. For the last optical sensor 112 of the sensor stack 148, facing away from the object 118, such as the optical sensor 112 named “5” in
As further outlined above, providing a plurality of the optical sensors 112, such as in a stacked fashion, may, additionally or alternatively, also be used for other purposes. Thus, the optical sensors 112 may provide different spectral sensitivities, in order to provide at least one information on a color of the light beam 150. Thus, in
As outlined above, the determination of a position of the object 118 and/or a part thereof by using the detector 110 may be used for providing a human-machine interface 120, in order to provide at least one item of information to a machine 176. In the embodiment schematically depicted in
Similarly, as outlined above, the human-machine interface 120 may form part of an entertainment device 122. The machine 176, specifically the computer, may also form part of the entertainment device 122. Thus, by means of the user 134 functioning as the object 118 and/or by means of the user 134 handling a control device 132 functioning as the object 118, the user 134 may input at least one item of information, such as at least one control command, into the computer, thereby varying the entertainment function, such as controlling the course of a computer game.
As outlined above, the one optical sensor 112 and/or one or more of the optical sensors 112 preferably may fully or partially be transparent with regard to the light beam 150. In
The optical sensor 112 may comprise a transparent substrate 178, such as a glass substrate and/or a plastic substrate. For potential details of the substrate 178, reference may be made to documents WO 2012/110924 A1 and U.S. provisional applications Nos. 61/739,173 and/or 61/749,964. However, other embodiments are feasible. The illumination by the light beam 150 may take place through the substrate 178 and/or from an opposite side. Thus, the bottom side of the substrate 178 in
On top of the substrate 178, a first electrode 180 is deposited, which, in this embodiment, may comprise a plurality of first electrode stripes 182. Preferably, the first electrode 180 is fully or partially transparent. Thus, as an example, the first electrode 180 may fully or partially be made of a transparent conductive oxide, such as fluorine-doped tin oxide (FTO) and/or indium-doped tin oxide (ITO). For further details of the first electrode 180, reference may be made to WO 2012/110924 A1 and/or one or more of U.S. provisional applications Nos. 61/739,173 and/or 61/749,964. However, other embodiments are feasible. A patterning of the first electrode stripes 182 may take place by appropriate patterning techniques which are generally known to the skilled person in the field of display technology, e.g. etching and/or lithographic techniques. Thus, as an example, a large-area coating by the material of the first electrode 180 on the substrate 178 may be provided, wherein the areas of the first electrode stripes 182 may be covered by photoresist and wherein the uncovered regions may be etched by an appropriate etching means, as known to the skilled person in the technical field of display manufacturing, such as LCD manufacturing.
On top of the first electrode 180, one or more light-sensitive layers 184, such as a light-sensitive layer setup comprising one, two, three or more layers, are deposited. As an example, the light-sensitive layers 184 may comprise a layer setup of a dye-sensitized solar cell (DSC), more specifically of a solid dye-sensitized solar cell (sDSC), such as disclosed in WO 2012/110924 A1 and/or one or more of the U.S. provisional applications 61/739,173 and/or 61/749,964. Thus, the light-sensitive layers 184 may comprise one or more layers of an n-semiconducting metal oxide, preferably a nanoporous metal oxide, such as TiO2, which may directly or indirectly be deposited on top of the first electrode 180. Further, the n-semiconducting metal oxide may fully or partially be sensitized with one or more dyes, such as one or more organic dyes, preferably one or more of the dyes disclosed in WO 2012/110924 A1 and/or one or more of U.S. provisional applications Nos. 61/739,173 and/or 61/749,964. Other embodiments are feasible.
On top of the dye-sensitized n-semiconducting metal oxide, one or more layers of a p-semiconducting and/or conducting material may be deposited. Thus, preferably, one or more solid p-semiconducting organic materials may be used which may directly or indirectly be deposited on top of the n-semiconducting metal oxide. As an example, reference may be made to one or more of the p-semiconducting materials as disclosed in WO 2012/110924 A1 and/or as disclosed in one or more of U.S. provisional applications Nos. 61/739,173 and/or 61/749,964. As a preferred example, Spiro-MeOTAD may be used.
It shall be noted that the named light-sensitive layers 184, which preferably may comprise one or more organic light-sensitive layers 184, may also be provided in a different layer setup. Thus, basically, any type of light-sensitive material, such as an organic, inorganic or hybrid layer setup, may be used, which is adapted to provide an electric signal in accordance with an illumination of the layer setup.
As can be seen specifically in the top view of
On top of the at least one light-sensitive layer 184, at least one second electrode 188 is deposited. Again, this at least one second electrode 188 preferably may comprise a plurality of electrode stripes, which, in this embodiment, are denoted by reference number 190 (second electrode stripes). As can be seen specifically in the top view of
As can be seen in the top view of
As further may be derived from the top view in
In addition to the layer setup shown in
The second electrode stripes 190 preferably may comprise one or more metal layers, such as one or more layers of a metal selected from the group consisting of: Al, Ag, Au, Pt, Cu. Additionally or alternatively, combinations of two or more metals may be used, such as metal alloys. As an example, one or more metal alloys selected from the group of NiCr, AlNiCr, MoNb and AlNd may be used. Still, other embodiments are feasible. Preferably, as for the first electrode stripes 182, the second electrode stripes 190 may fully or partially be transparent. This transparency may be realized in various ways. Thus, as an example, thin metal layers may be used, such as metal layers having a thickness of below 50 nm, such as a thickness of ≤30 nm or ≤20 nm. At these layer thicknesses, the typical metals still are transparent. Additionally or alternatively, however, non-metallic conductive materials may be used, such as conductive polymers. As an example, PEDOT:PSS and/or PANI may be used. For further potential details of the setup of the second electrode 188, reference may be made to WO 2012/110924 A1, U.S. 61/739,173 and/or 61/749,964, as mentioned above.
The second electrode stripes 190 may be applied to the layer setup by using typical application techniques. Thus, as an example, one or more metal layers may be deposited by using physical vapor deposition (such as evaporation and/or sputtering). Conductive non-metallic materials, such as conductive polymers, may e.g. be applied by using typical coating techniques, such as spin-coating and/or printing. Other techniques are feasible. The patterning of the second electrode stripes 190 may be performed in various ways. Thus, when using evaporation techniques and/or vacuum deposition techniques, a mask technique may be used, such as evaporation through shadow masks. Additionally or alternatively, printing may be performed in a patterned way. Thus, as an example, screen-printing and/or inkjet-printing may be used for patterning conductive polymers. Again, additionally or alternatively, one or more separating patterns may be provided on the layer setup and/or on the substrate 178, such as photoresist patterns, which sub-divide the second electrode 188 into the second electrode stripes 190.
It shall further be noted that the layer setup of the first electrode 180, the one or more light-sensitive layers 184 and the second electrode 188 may as well be inverted. Thus, as an example, the layer setup of the DSC, specifically the sDSC, may be inverted, as compared to the layer setup described above. Further, additionally or alternatively, the setup of the electrodes 180, 188 may be inverted, thus providing the second electrode 188 on the substrate 178, providing the one or more light-sensitive layers 184 directly or indirectly on top of this second electrode, and providing the first electrode 180 on top of this at least one light-sensitive layer 184. Various variations of the setup are feasible. Further, it shall be noted that one or more of electrodes 180, 188 may as well be intransparent. Thus, as explained above, a detector 110 having only one optical sensor 112 is feasible. In this case, the optical sensor 112 does not necessarily have to be transparent. Thus, as an example, the second electrode 188 may be intransparent, such as by using thick metal layers, in case light is transmitted into the optical sensor 112 via sensor surface 158. In case light is transmitted into the optical sensor 112 from the other side, the first electrode 180 may be an intransparent electrode. Further, in case a sensor stack 148 is used, as e.g. in the setup of
In
As can be seen, in this preferred embodiment, the detector 110, again, comprises a plurality of optical sensors 112, which, again, are arranged in a sensor stack 148. For potential embodiments of the optical sensors 112 and the sensor stack 148, reference may be made to the embodiments disclosed above.
The sensor stack 148 comprises at least two optical sensors 112, wherein, in this embodiment, only two optical sensors 112 are shown, Lone optical sensor 112 facing towards the object 118, of the last optical sensor 112 in
The light beam 150 may propagate in a direction of propagation 194, along an axis of propagation 196, which may be parallel or nonparallel to the z-axis which, preferably, is oriented orthogonally to the sensor surfaces 158 of the optical sensors 112.
As outlined above with regard to
Further, as outlined above, by evaluating beam waist w0, a longitudinal coordinate of the object 118 may be determined. Thus, as an example, the beam waist may be dependent on the longitudinal coordinate according to one or more of the above-mentioned relationships, specifically according to a Gaussian relationship. In case the direction of propagation 194 is non-parallel to the optical axis or z-coordinate, as depicted in
In
As outlined above, the detector 110 in the embodiment shown herein is suited to act as a light-field camera. Thus, light-beams 150 propagating from various objects 118 or beacon devices 116, symbolically denoted by A, B and C in
Further, as outlined above, the optical sensors 112 of the stack 148 of optical sensors may have identical or different wavelength sensitivities. Thus, the stack 148 may, besides the optional imaging device 196, comprise two types of optical sensors 112, such as in an alternating fashion. Therein, a first type and a second type of optical sensors 112 may be provided in the stack 148. The optical sensors 112 of the first type and the second type specifically may be arranged in an alternating fashion along the optical axis 142. The optical sensors 112 of the first type may have a first spectral sensitivity, such as a first absorption spectrum, such as a first absorption spectrum defined by a first dye, and the optical sensors 112 of the second type may have a second spectral sensitivity different from the first spectral sensitivity, such as a second absorption spectrum, such as a second absorption spectrum defined by a second dye. By evaluating sensor signals of these two or more types of optical sensors 112, color information may be obtained. Thus, in addition to the beam parameters which may be derived, the two or more types of optical sensors 112 may allow for deriving additional color information, such as for deriving a full-color three-dimensional image. Thus, as an example, color information may be derived by comparing the sensor signals of the optical sensors 112 of different color with values stored in a look-up table. Thus, the setup of
As outlined above, the detector 110 may further comprise one or more time-of-flight detectors. This possibility is shown in
Further, the detector 110 comprises at least one time-of-flight (ToF) detector 198. As shown in
The at least one optional ToF detector 198 may be combined with the at least one detector having the pixelated optical sensors 112 such as the camera 111 in various ways. Thus, as an example and as shown in
As outlined above, the ToF detector 198 and the camera 111 may be combined in a beneficial way, for various purposes, such as for resolving ambiguities, for increasing the range of weather conditions in which the optical detector 110 may be used, or for extending a distance range between the object 118 and the optical detector 110. For further details, reference may be made to the description above.
| Number | Date | Country | Kind |
|---|---|---|---|
| 13171901 | Jun 2013 | EP | regional |
| 10 2014 006 280 | Mar 2014 | DE | national |
This application is a continuation of U.S. application Ser. No. 14/896,958, filed Dec. 9, 2015, now allowed; which is a national stage application of PCT/EP2014/061695, filed Jun. 5, 2014, which claims benefit of European Application No. 13171901.5, filed Jun. 13, 2013, and German Application No. 10 2014 006 280.5, filed Mar. 12, 2014, all of which are incorporated herein by reference in their entirety.
| Number | Name | Date | Kind |
|---|---|---|---|
| 3035176 | Kis et al. | May 1962 | A |
| 3112197 | Neugebauer et al. | Nov 1963 | A |
| 3384752 | Odone | May 1968 | A |
| 3552785 | Craig | Feb 1971 | A |
| 3564263 | Bayne et al. | Feb 1971 | A |
| 3873823 | Northrup | Mar 1975 | A |
| 3937950 | Hosoe et al. | Feb 1976 | A |
| 3954340 | Blomqvist et al. | May 1976 | A |
| 4023033 | Bricot et al. | May 1977 | A |
| 4053240 | Aizawa et al. | Oct 1977 | A |
| 4079247 | Briscot et al. | Mar 1978 | A |
| 4256513 | Yoshida | Mar 1981 | A |
| 4286035 | Nishizima et al. | Aug 1981 | A |
| 4346293 | Fetzer | Aug 1982 | A |
| 4469945 | Hoeberechts et al. | Sep 1984 | A |
| 4524276 | Ohtombe | Jun 1985 | A |
| 4565761 | Katagiri et al. | Jan 1986 | A |
| 4584704 | Ferren | Apr 1986 | A |
| 4593187 | Grotts et al. | Jun 1986 | A |
| 4602158 | Barrett | Jul 1986 | A |
| 4603258 | Sher et al. | Jul 1986 | A |
| 4647193 | Rosenfeld | Mar 1987 | A |
| 4675535 | Tsunekawa et al. | Jun 1987 | A |
| 4694172 | Powell et al. | Sep 1987 | A |
| 4760004 | Rochat et al. | Jul 1988 | A |
| 4760151 | Rochat et al. | Jul 1988 | A |
| 4767211 | Munakata et al. | Aug 1988 | A |
| 4773751 | Matsuda et al. | Sep 1988 | A |
| 4927721 | Gratzel et al. | May 1990 | A |
| 4952472 | Baranyi et al. | Aug 1990 | A |
| 5082363 | Nakanishi et al. | Jan 1992 | A |
| 5216476 | Lanckton | Jun 1993 | A |
| 5227985 | Dementhon et al. | Jul 1993 | A |
| 5291066 | Neugebauer et al. | Mar 1994 | A |
| 5343291 | Ohwada | Aug 1994 | A |
| 5350644 | Graetzel et al. | Sep 1994 | A |
| 5355241 | Kelley | Oct 1994 | A |
| 5375008 | Guerreri | Dec 1994 | A |
| 5512997 | Ogawa | Apr 1996 | A |
| 5576975 | Sasaki et al. | Nov 1996 | A |
| 5581094 | Hara et al. | Dec 1996 | A |
| 5589928 | Babbitt et al. | Dec 1996 | A |
| 5856844 | Batterman et al. | Jan 1999 | A |
| 6061122 | Hoshino et al. | May 2000 | A |
| 6163371 | Kato et al. | Dec 2000 | A |
| 6191881 | Tajima | Feb 2001 | B1 |
| 6229913 | Nayar et al. | May 2001 | B1 |
| 6266142 | Junkins et al. | Jul 2001 | B1 |
| 6359211 | Spitler et al. | Mar 2002 | B1 |
| 6417836 | Kumar et al. | Jul 2002 | B1 |
| 6512233 | Sato et al. | Jan 2003 | B1 |
| 6930297 | Nakamura | Aug 2005 | B1 |
| 6947459 | Kurtz | Sep 2005 | B2 |
| 6995445 | Forrest et al. | Feb 2006 | B2 |
| 7022966 | Gonzo et al. | Apr 2006 | B2 |
| 7049601 | Agano | May 2006 | B2 |
| 7196317 | Meissner et al. | Mar 2007 | B1 |
| 7247851 | Okada et al. | Jul 2007 | B2 |
| 7301608 | Mendenhall et al. | Nov 2007 | B1 |
| 7417716 | Nagasaka et al. | Aug 2008 | B2 |
| 7626569 | Lanier | Dec 2009 | B2 |
| 7677742 | Hillmer et al. | Mar 2010 | B2 |
| 7768498 | Wey | Aug 2010 | B2 |
| 7773070 | Trisnadi et al. | Aug 2010 | B2 |
| 7939932 | Martin | May 2011 | B2 |
| 8013901 | Fukuhara et al. | Sep 2011 | B2 |
| 8019166 | Cheng et al. | Sep 2011 | B2 |
| 8107056 | Riza | Jan 2012 | B1 |
| 8144173 | Baba | Mar 2012 | B2 |
| 8228299 | Maloney et al. | Jul 2012 | B1 |
| 8231809 | Pschirer et al. | Jul 2012 | B2 |
| 8345003 | Trisnadi et al. | Jan 2013 | B1 |
| 8363526 | Hotta et al. | Jan 2013 | B2 |
| 8390793 | Yamaguchi et al. | Mar 2013 | B2 |
| 8411289 | Takahashi | Apr 2013 | B2 |
| 8477580 | Yamamoto et al. | Jul 2013 | B2 |
| 8563855 | Pschirer et al. | Oct 2013 | B2 |
| 8593565 | Shuster | Nov 2013 | B2 |
| 8902354 | Shuster | Dec 2014 | B2 |
| 8908157 | Eisele et al. | Dec 2014 | B2 |
| 9104910 | Huang | Aug 2015 | B2 |
| 9385326 | Wonneberger et al. | Jul 2016 | B2 |
| 9389315 | Bruder et al. | Jul 2016 | B2 |
| 9428518 | Wonneberger et al. | Aug 2016 | B2 |
| 9557856 | Send et al. | Jan 2017 | B2 |
| 9646365 | Hinkel et al. | May 2017 | B1 |
| 9665182 | Send et al. | May 2017 | B2 |
| 9741954 | Bruder et al. | Aug 2017 | B2 |
| 9787899 | Hinkel et al. | Oct 2017 | B1 |
| 9829564 | Bruder et al. | Nov 2017 | B2 |
| 9919999 | Koenemann et al. | Mar 2018 | B2 |
| 9958535 | Send et al. | May 2018 | B2 |
| 9989623 | Send et al. | Jun 2018 | B2 |
| 10012532 | Send et al. | Jul 2018 | B2 |
| 10094927 | Send et al. | Oct 2018 | B2 |
| 10120078 | Bruder et al. | Nov 2018 | B2 |
| 10290817 | Battagliarin et al. | May 2019 | B2 |
| 10412283 | Send et al. | Sep 2019 | B2 |
| 20010025938 | Imai | Oct 2001 | A1 |
| 20020011576 | Cho et al. | Jan 2002 | A1 |
| 20030017360 | Tai et al. | Jan 2003 | A1 |
| 20030094607 | Guenther et al. | May 2003 | A1 |
| 20030128351 | Schmidt | Jul 2003 | A1 |
| 20030132391 | Agano | Jul 2003 | A1 |
| 20030227635 | Muller | Dec 2003 | A1 |
| 20040178325 | Forrest et al. | Sep 2004 | A1 |
| 20040190117 | Kubaink | Sep 2004 | A1 |
| 20040216625 | Birnstock et al. | Nov 2004 | A1 |
| 20050052120 | Gupta et al. | Mar 2005 | A1 |
| 20050061957 | Kase | Mar 2005 | A1 |
| 20050122308 | Bell et al. | Jun 2005 | A1 |
| 20050184301 | Nagasaka et al. | Aug 2005 | A1 |
| 20050217720 | Rey-Mermet et al. | Oct 2005 | A1 |
| 20050227390 | Shtein et al. | Oct 2005 | A1 |
| 20050227406 | Shtein et al. | Oct 2005 | A1 |
| 20050268957 | Enomoto et al. | Dec 2005 | A1 |
| 20050269616 | Andriessen | Dec 2005 | A1 |
| 20060044546 | Lewin et al. | Mar 2006 | A1 |
| 20060049397 | Pfeiffer et al. | Mar 2006 | A1 |
| 20060065833 | Craig et al. | Mar 2006 | A1 |
| 20060075585 | Krieger et al. | Apr 2006 | A1 |
| 20060082546 | Wey | Apr 2006 | A1 |
| 20070008515 | Otani et al. | Jan 2007 | A1 |
| 20070010924 | Otani et al. | Jan 2007 | A1 |
| 20070046625 | Yee | Mar 2007 | A1 |
| 20070080925 | Radivojevic et al. | Apr 2007 | A1 |
| 20070109558 | Harding | May 2007 | A1 |
| 20070122927 | Li et al. | May 2007 | A1 |
| 20070176165 | Forrest et al. | Aug 2007 | A1 |
| 20070183047 | Phillips et al. | Aug 2007 | A1 |
| 20070206181 | Arenberg et al. | Sep 2007 | A1 |
| 20080013005 | Deane | Jan 2008 | A1 |
| 20080080789 | Marks | Apr 2008 | A1 |
| 20080157965 | Shahar | Jul 2008 | A1 |
| 20080170750 | Gordon | Jul 2008 | A1 |
| 20080259310 | Wada | Oct 2008 | A1 |
| 20080269482 | Pschirer et al. | Oct 2008 | A1 |
| 20080284925 | Han | Nov 2008 | A1 |
| 20080297487 | Hotelling et al. | Dec 2008 | A1 |
| 20090009747 | Wolf | Jan 2009 | A1 |
| 20090046543 | De Hoog et al. | Feb 2009 | A1 |
| 20090097010 | Yamaguchi | Apr 2009 | A1 |
| 20090153841 | Ophey et al. | Jun 2009 | A1 |
| 20090185158 | Wolf | Jul 2009 | A1 |
| 20090188547 | Hayashi et al. | Jul 2009 | A1 |
| 20090225319 | Lee | Sep 2009 | A1 |
| 20090231582 | Aebischer | Sep 2009 | A1 |
| 20090322677 | Lee et al. | Dec 2009 | A1 |
| 20100073462 | Lee et al. | Mar 2010 | A1 |
| 20100091263 | Kumagai et al. | Apr 2010 | A1 |
| 20100141927 | Hashimoto et al. | Jun 2010 | A1 |
| 20100141964 | Horsch | Jun 2010 | A1 |
| 20100194942 | Wada | Aug 2010 | A1 |
| 20100231513 | Deliwala | Sep 2010 | A1 |
| 20100258179 | Wieting | Oct 2010 | A1 |
| 20100279458 | Yeh | Nov 2010 | A1 |
| 20100282309 | Pschirer et al. | Nov 2010 | A1 |
| 20100283868 | Clark et al. | Nov 2010 | A1 |
| 20100297405 | Flores et al. | Nov 2010 | A1 |
| 20110032365 | Yett | Feb 2011 | A1 |
| 20110055846 | Perez et al. | Mar 2011 | A1 |
| 20110096319 | Otani et al. | Apr 2011 | A1 |
| 20110099105 | Mennie et al. | Apr 2011 | A1 |
| 20110103215 | Hotta et al. | May 2011 | A1 |
| 20110122287 | Kunishige et al. | May 2011 | A1 |
| 20110123188 | Cardwell et al. | May 2011 | A1 |
| 20110127788 | Nakanishi | Jun 2011 | A1 |
| 20110181553 | Brown et al. | Jul 2011 | A1 |
| 20110194097 | Yamaguchi et al. | Aug 2011 | A1 |
| 20110284756 | Miko et al. | Nov 2011 | A1 |
| 20110286661 | Lee et al. | Nov 2011 | A1 |
| 20110297235 | Bergmann | Dec 2011 | A1 |
| 20110306413 | Bickerstaff et al. | Dec 2011 | A1 |
| 20110317146 | Gu et al. | Dec 2011 | A1 |
| 20120013885 | Yang et al. | Jan 2012 | A1 |
| 20120061587 | Wu | Mar 2012 | A1 |
| 20120062517 | Lai et al. | Mar 2012 | A1 |
| 20120063287 | Yamamoto et al. | Mar 2012 | A1 |
| 20120105690 | Waqas et al. | May 2012 | A1 |
| 20120160298 | Kanamoto et al. | Jun 2012 | A1 |
| 20120162410 | Vaillant | Jun 2012 | A1 |
| 20120206336 | Bruder | Aug 2012 | A1 |
| 20120242867 | Shuster | Sep 2012 | A1 |
| 20120249998 | Eisele et al. | Oct 2012 | A1 |
| 20120250137 | Maxik et al. | Oct 2012 | A1 |
| 20120262365 | Mallinson | Oct 2012 | A1 |
| 20120262696 | Eisele et al. | Oct 2012 | A1 |
| 20120289672 | Kastler et al. | Nov 2012 | A1 |
| 20120293651 | Kawamata et al. | Nov 2012 | A1 |
| 20120320160 | Drazic | Dec 2012 | A1 |
| 20120328906 | Kwon et al. | Dec 2012 | A1 |
| 20130033579 | Wajs | Feb 2013 | A1 |
| 20130076695 | Gomez et al. | Mar 2013 | A1 |
| 20130135604 | Gogolla et al. | May 2013 | A1 |
| 20130201492 | Takahashi | Aug 2013 | A1 |
| 20130222551 | Shamir et al. | Aug 2013 | A1 |
| 20130235390 | Holzapfel et al. | Sep 2013 | A1 |
| 20130242283 | Bailey et al. | Sep 2013 | A1 |
| 20130266210 | Morgan-Mar et al. | Oct 2013 | A1 |
| 20130271818 | Maxik et al. | Oct 2013 | A1 |
| 20130320302 | Park et al. | Dec 2013 | A1 |
| 20140015242 | Forrest | Jan 2014 | A1 |
| 20140043610 | Engel et al. | Feb 2014 | A1 |
| 20140066656 | Bruder et al. | Mar 2014 | A1 |
| 20140078376 | Shuster | Mar 2014 | A1 |
| 20140124782 | Jung et al. | May 2014 | A1 |
| 20140132724 | Choi et al. | May 2014 | A1 |
| 20140209789 | Hu | Jul 2014 | A1 |
| 20140211295 | Maxik et al. | Jul 2014 | A1 |
| 20140217329 | Hayoz et al. | Aug 2014 | A1 |
| 20140233028 | Englund | Aug 2014 | A1 |
| 20140291480 | Bruder et al. | Oct 2014 | A1 |
| 20140347442 | Wang et al. | Nov 2014 | A1 |
| 20140368726 | Gladnick | Dec 2014 | A1 |
| 20150029326 | Backman et al. | Jan 2015 | A1 |
| 20150085166 | Shuster | Mar 2015 | A1 |
| 20150111337 | Welker et al. | Apr 2015 | A1 |
| 20150124241 | Eisele et al. | May 2015 | A1 |
| 20150124268 | Bruder et al. | May 2015 | A1 |
| 20150132887 | Welker et al. | May 2015 | A1 |
| 20150170400 | Seitz et al. | Jun 2015 | A1 |
| 20150286340 | Send et al. | Oct 2015 | A1 |
| 20150346911 | Christiansson | Dec 2015 | A1 |
| 20150372046 | Kim et al. | Dec 2015 | A1 |
| 20160099429 | Bruder et al. | Apr 2016 | A1 |
| 20160124074 | Wonneberger et al. | May 2016 | A1 |
| 20160127664 | Bruder et al. | May 2016 | A1 |
| 20160139243 | Send et al. | May 2016 | A1 |
| 20160140786 | Wang | May 2016 | A1 |
| 20160155575 | Yamato et al. | Jun 2016 | A1 |
| 20160177177 | Koenemann et al. | Jun 2016 | A1 |
| 20160211464 | Tanabe et al. | Jul 2016 | A1 |
| 20160218302 | Hermes et al. | Jul 2016 | A1 |
| 20160224110 | Massonneau et al. | Aug 2016 | A1 |
| 20160248021 | Sundarraj et al. | Aug 2016 | A1 |
| 20160255323 | Wajs | Sep 2016 | A1 |
| 20160266257 | Bruder et al. | Sep 2016 | A1 |
| 20160286199 | Wajs et al. | Sep 2016 | A1 |
| 20160320489 | Send et al. | Nov 2016 | A1 |
| 20160364015 | Send et al. | Dec 2016 | A1 |
| 20170039793 | Send et al. | Feb 2017 | A1 |
| 20170074652 | Send et al. | Mar 2017 | A1 |
| 20170082426 | Bruder et al. | Mar 2017 | A1 |
| 20170082486 | Send et al. | Mar 2017 | A1 |
| 20170123593 | Send et al. | May 2017 | A1 |
| 20170183295 | Koenemann et al. | Jun 2017 | A1 |
| 20170205230 | Send et al. | Jul 2017 | A1 |
| 20170219694 | Send et al. | Aug 2017 | A1 |
| 20170219709 | Send et al. | Aug 2017 | A1 |
| 20170237926 | Bruder et al. | Aug 2017 | A1 |
| 20170250334 | Hermes et al. | Aug 2017 | A1 |
| 20170263868 | Tanabe et al. | Sep 2017 | A1 |
| 20170309828 | Tanabe et al. | Oct 2017 | A1 |
| 20170363465 | Send et al. | Dec 2017 | A1 |
| 20170363741 | Send et al. | Dec 2017 | A1 |
| 20180003993 | Send et al. | Jan 2018 | A1 |
| 20180007343 | Send et al. | Jan 2018 | A1 |
| 20180017679 | Valouch et al. | Jan 2018 | A1 |
| 20180031672 | Bruder et al. | Feb 2018 | A1 |
| 20180044357 | Spielmann et al. | Feb 2018 | A1 |
| 20180067213 | Send et al. | Mar 2018 | A1 |
| 20180136319 | Send et al. | May 2018 | A1 |
| 20180182980 | Lennartz et al. | Jun 2018 | A1 |
| 20180210064 | Send et al. | Jul 2018 | A1 |
| 20180231376 | Send et al. | Aug 2018 | A1 |
| 20180238993 | Send et al. | Aug 2018 | A1 |
| 20180243045 | Franjic et al. | Aug 2018 | A1 |
| 20180249051 | Send et al. | Aug 2018 | A1 |
| 20180276843 | Send et al. | Sep 2018 | A1 |
| 20180329024 | Send et al. | Nov 2018 | A1 |
| 20180356501 | Send et al. | Dec 2018 | A1 |
| 20190129035 | Valouch et al. | May 2019 | A1 |
| 20190129036 | Valouch et al. | May 2019 | A1 |
| 20190140129 | Valouch et al. | May 2019 | A1 |
| 20190157470 | Send et al. | May 2019 | A1 |
| 20190170849 | Hermes et al. | Jun 2019 | A1 |
| 20190172964 | Hermes et al. | Jun 2019 | A1 |
| 20190198206 | Ter Maat et al. | Jun 2019 | A1 |
| 20190277703 | Valouch et al. | Sep 2019 | A1 |
| Number | Date | Country |
|---|---|---|
| 1065054 | Oct 1979 | CA |
| 2196563 | Dec 1996 | CA |
| 1270706 | Oct 2000 | CN |
| 1677053 | Oct 2005 | CN |
| 1723564 | Jan 2006 | CN |
| 1777859 | May 2006 | CN |
| 1809801 | Jul 2006 | CN |
| 1894976 | Jan 2007 | CN |
| 1896686 | Jan 2007 | CN |
| 101129074 | Feb 2008 | CN |
| 101290348 | Oct 2008 | CN |
| 101449181 | Jun 2009 | CN |
| 101650173 | Feb 2010 | CN |
| 101655350 | Feb 2010 | CN |
| 101859439 | Oct 2010 | CN |
| 102096962 | Jun 2011 | CN |
| 201897828 | Jul 2011 | CN |
| 102435136 | May 2012 | CN |
| 102506754 | Jun 2012 | CN |
| 102549380 | Jul 2012 | CN |
| 102549381 | Jul 2012 | CN |
| 102737435 | Oct 2012 | CN |
| 102833569 | Dec 2012 | CN |
| 103106411 | May 2013 | CN |
| 103322910 | Sep 2013 | CN |
| 103403494 | Nov 2013 | CN |
| 103492835 | Jan 2014 | CN |
| 103649677 | Mar 2014 | CN |
| 103650478 | Mar 2014 | CN |
| 10 405 2944 | Sep 2014 | CN |
| 2 417 854 | Oct 1974 | DE |
| 25 01 124 | Aug 1975 | DE |
| 32 25 372 | Feb 1983 | DE |
| 42 11 875 | Oct 1993 | DE |
| 196 04 856 | Aug 1997 | DE |
| 10146752 | Apr 2002 | DE |
| 10 2005 043 627 | Mar 2007 | DE |
| 10 2005 053 995 | May 2007 | DE |
| 10 2007 037 875 | Feb 2009 | DE |
| 10 2010 042 278 | Apr 2012 | DE |
| 0 112 169 | Jun 1984 | EP |
| 0 185 450 | Jun 1986 | EP |
| 0 309 631 | Apr 1989 | EP |
| 0 754 930 | Jan 1997 | EP |
| 1 176 646 | Jan 2002 | EP |
| 1 191 819 | Mar 2002 | EP |
| 1 330 117 | Jul 2003 | EP |
| 1 373 272 | Jan 2004 | EP |
| 1 667 246 | Jun 2006 | EP |
| 1 832 910 | Sep 2007 | EP |
| 1 947 477 | Jul 2008 | EP |
| 2 205 657 | Jul 2010 | EP |
| 2 220 141 | Aug 2010 | EP |
| 2 507 286 | Oct 2012 | EP |
| 2 527 866 | Nov 2012 | EP |
| 2 725 617 | Apr 2014 | EP |
| 2 735 542 | May 2014 | EP |
| 2 813 324 | Dec 2014 | EP |
| 2 818 493 | Dec 2014 | EP |
| 15 153 215 | Jan 2015 | EP |
| 2 831 180 | Feb 2015 | EP |
| 15 157 363 | Mar 2015 | EP |
| 15 164 653 | Apr 2015 | EP |
| 2 884 303 | Jun 2015 | EP |
| 15 177 275 | Jul 2015 | EP |
| 15 180 353 | Aug 2015 | EP |
| 15 180 354 | Aug 2015 | EP |
| 15 185 005 | Sep 2015 | EP |
| 15 191 960 | Oct 2015 | EP |
| 15 196 238 | Nov 2015 | EP |
| 15 196 239 | Nov 2015 | EP |
| 15 197 744 | Dec 2015 | EP |
| 16 155 834 | Feb 2016 | EP |
| 16 155 845 | Feb 2016 | EP |
| 3 008 421 | Apr 2016 | EP |
| 3 008 757 | Apr 2016 | EP |
| 3 036 503 | Jun 2016 | EP |
| 2 432 723 | May 2007 | GB |
| S59-50579 | Mar 1984 | JP |
| 59-79805 | May 1984 | JP |
| 61-89501 | May 1986 | JP |
| S61-135280 | Jun 1986 | JP |
| 61-186804 | Aug 1986 | JP |
| 64-17485 | Jan 1989 | JP |
| H02-170004 | Jun 1990 | JP |
| 04-240817 | Aug 1992 | JP |
| 5-48833 | Feb 1993 | JP |
| 05-240640 | Sep 1993 | JP |
| 6-133321 | May 1994 | JP |
| 7-146113 | Jun 1995 | JP |
| 7-318630 | Dec 1995 | JP |
| 8-159714 | Jun 1996 | JP |
| 8-292586 | Nov 1996 | JP |
| 10-26513 | Jan 1998 | JP |
| 10-221064 | Aug 1998 | JP |
| H11-230860 | Aug 1999 | JP |
| 11-257917 | Sep 1999 | JP |
| 11-325825 | Nov 1999 | JP |
| 3110095 | Nov 2000 | JP |
| 2001-516150 | Sep 2001 | JP |
| 2002-176191 | Jun 2002 | JP |
| 2003-307407 | Oct 2003 | JP |
| 2004-508691 | Mar 2004 | JP |
| 2005-509909 | Apr 2005 | JP |
| 2005-189087 | Jul 2005 | JP |
| 2005-241340 | Sep 2005 | JP |
| 2005-296268 | Oct 2005 | JP |
| 2006-514366 | Apr 2006 | JP |
| 2006-337254 | Dec 2006 | JP |
| 2007-521559 | Aug 2007 | JP |
| 2007-530978 | Nov 2007 | JP |
| 2008-522418 | Jun 2008 | JP |
| 2008-164538 | Jul 2008 | JP |
| 2009-257890 | Nov 2009 | JP |
| 2010-081002 | Apr 2010 | JP |
| 2010-218770 | Sep 2010 | JP |
| 2010-531520 | Sep 2010 | JP |
| 2011-503673 | Jan 2011 | JP |
| 2011-027707 | Feb 2011 | JP |
| 2012-522248 | Sep 2012 | JP |
| 2012-229964 | Nov 2012 | JP |
| 2012-231154 | Nov 2012 | JP |
| 2013-051674 | Mar 2013 | JP |
| 2011-40111 | Nov 2011 | TW |
| 99-09603 | Feb 1999 | WO |
| WO 0129576 | Apr 2001 | WO |
| WO 02076988 | Oct 2002 | WO |
| WO 02101838 | Dec 2002 | WO |
| 03012371 | Feb 2003 | WO |
| WO 03098617 | Nov 2003 | WO |
| WO 2004072909 | Aug 2004 | WO |
| WO 2004114112 | Dec 2004 | WO |
| WO 2005106965 | Nov 2005 | WO |
| WO 2007006717 | Jan 2007 | WO |
| WO 2007054470 | May 2007 | WO |
| WO 2008122531 | Oct 2008 | WO |
| WO 2008145172 | Dec 2008 | WO |
| WO 2009013282 | Jan 2009 | WO |
| WO 2009021859 | Feb 2009 | WO |
| WO 2009053291 | Apr 2009 | WO |
| WO 2009058115 | May 2009 | WO |
| WO 2009105801 | Sep 2009 | WO |
| WO 2010088032 | Aug 2010 | WO |
| WO 2010094636 | Aug 2010 | WO |
| WO 2010118409 | Oct 2010 | WO |
| WO 2010118450 | Oct 2010 | WO |
| WO 2011067192 | Jun 2011 | WO |
| WO 2011083722 | Jul 2011 | WO |
| WO 2011091967 | Aug 2011 | WO |
| WO 2012001628 | Jan 2012 | WO |
| WO 2012046181 | Apr 2012 | WO |
| WO 2012049038 | Apr 2012 | WO |
| WO 2012070208 | May 2012 | WO |
| WO 2012085803 | Jun 2012 | WO |
| WO 2012091814 | Jul 2012 | WO |
| WO 2012110924 | Aug 2012 | WO |
| WO 2012115593 | Aug 2012 | WO |
| WO 2012139354 | Oct 2012 | WO |
| 2012152812 | Nov 2012 | WO |
| 2012168395 | Dec 2012 | WO |
| WO 2006134370 | Dec 2012 | WO |
| WO 2013009676 | Jan 2013 | WO |
| WO 2013090960 | Jun 2013 | WO |
| WO 2013091016 | Jun 2013 | WO |
| 2013118037 | Aug 2013 | WO |
| WO 2013116883 | Aug 2013 | WO |
| WO 2013144177 | Oct 2013 | WO |
| WO 2013156101 | Oct 2013 | WO |
| 2013170982 | Nov 2013 | WO |
| 2014086722 | Jun 2014 | WO |
| 2014097489 | Jun 2014 | WO |
| WO 2014097181 | Jun 2014 | WO |
| WO 2014123522 | Aug 2014 | WO |
| 2014178923 | Nov 2014 | WO |
| 2014198623 | Dec 2014 | WO |
| 2014198625 | Dec 2014 | WO |
| 2014198626 | Dec 2014 | WO |
| 2014198629 | Dec 2014 | WO |
| 2015024871 | Feb 2015 | WO |
| WO 2015081362 | Jun 2015 | WO |
| WO 2015091607 | Jun 2015 | WO |
| WO 2015150989 | Oct 2015 | WO |
| WO 2015159192 | Oct 2015 | WO |
| WO 2015161989 | Oct 2015 | WO |
| WO 2015162528 | Oct 2015 | WO |
| WO 2015176981 | Nov 2015 | WO |
| WO 2015177784 | Nov 2015 | WO |
| 2015193804 | Dec 2015 | WO |
| 2016005893 | Jan 2016 | WO |
| WO 2016012274 | Jan 2016 | WO |
| 2016051323 | Apr 2016 | WO |
| WO 2016066494 | May 2016 | WO |
| 2016092449 | Jun 2016 | WO |
| 2016092454 | Jun 2016 | WO |
| WO 2016083914 | Jun 2016 | WO |
| WO 2016120392 | Aug 2016 | WO |
| WO 2016146725 | Sep 2016 | WO |
| WO 2017089553 | Jun 2017 | WO |
| WO 2017144401 | Aug 2017 | WO |
| WO 2018096083 | May 2018 | WO |
| WO 2018115073 | Jun 2018 | WO |
| WO 2018146138 | Aug 2018 | WO |
| WO 2018146146 | Aug 2018 | WO |
| WO 2018167215 | Sep 2018 | WO |
| WO 2018193045 | Oct 2018 | WO |
| WO 2019002199 | Jan 2019 | WO |
| WO 2019011803 | Jan 2019 | WO |
| WO 2019038354 | Feb 2019 | WO |
| WO 2019042956 | Mar 2019 | WO |
| WO 2019042959 | Mar 2019 | WO |
| Entry |
|---|
| R. M. Schaffert, “A New High-Sensitivity Organic Photoconductor for Electrophotography”, IBM J. Res. Develop., 1971, p. 75-89. |
| P. Gregory, Ed., Chemistry and Technology of printing and imaging systems, Chapman & Hall, 1996, Chap. 4, R.S. Gairns, Electrophotography, p. 76-112. |
| Pekkola et al., “Focus-Induced Photoresponse: a novel way to measure distances with photodetectors”, Scientific Reports (2018) 8:9208, 8 pages. |
| L. Pintilie, et al., “Field-effect-assisted photoconductivity in PbS films deposited on silicon dioxide”, J. Appl. Phys. 91, p. 5782, 2002. |
| Office Action dated Jul. 9, 2018, in Japanese Patent Application No. 2017-007544. |
| Xing Lin, et al., “Coded focal stack photography”, Computational Photography (ICCP), 2013 IEEE International Conference on, Apr. 19, 2013, XP032424246, pp. 1-9. |
| Nabeel A. Riza, et al., “Noncontact distance sensor using spatial signal processing”, Optics Letters, Optical Society of America, vol. 34, No. 4, Feb. 15, 2009. XP001522006, pp. 434-436. |
| Nabeel A. Riza, et al., “Smart agile lens remote optical sensor for three-dimensional object shape measurements”, Applied Optics, Optical Society of America, vol. 49, No. 7, Mar. 1, 2010. XP001552714, pp. 1139-1150. |
| International Search Report dated Nov. 7, 2017, in corresponding PCT/EP2017/057867. |
| International Search Report dated Jul. 7, 2017, in corresponding PCT/EP2017/057825. |
| International Search Report dated Aug. 17, 2017, in corresponding PCT/EP2017/060057. |
| International Search Report dated Aug. 1, 2017, in corresponding PCT/EP2017/060058. |
| Walter Fuhs. “Hydrogenated Amorphous Silicon—Material Properties and Device Applications”, in S. Baranovski, Charge Transport in Disordered Solids, Wiley, p. 97-147, 2006. |
| International Preliminary Report on Patentability and Written Opinion dated Feb. 22, 2018 in PCT/EP2016/069049). |
| Kurt Konolige et al., “A Low-Cost Laser Distance Sensor”, 2008 IEEE International Conference on Robotics and Automation, Pasadena, CA, May 19-23, 2008. |
| C. Hahne, A. Aggoun, S. Haxha, V. Velisavljevic, and J. Fernández, “Light field geometry of a standard plenoptic camera,” Opt. Express 22, 26659-26673 (2014). |
| C. Hahne, A. Aggoun, S. Haxha, V. Velisavljevic, and J. Fernández, “Baseline of virtual cameras acquired by a standard plenoptic camera setup,” in 3D-TV-Conference: The True Vision—Capture, Transmission and Display of 3D Video (3DTV-CON), Jul. 2-4, 2014. |
| C. Hahne, A. Aggoun. and V. Velisavljevic, “The refocusing distance of a standard plenoptic photograph,” in 3D-TV-Conference: The True Vision—Capture, Transmission and Display of 3D Video (3DTV-CON), Jul. 8-10, 2015. |
| C. Hahne and A. Aggoun, “Embedded FIR filter design for real-time refocusing using a standard plenoptic video camera,” Proc. SPIE 9023, in Digital Photography X, 902305 (Mar. 7, 2014). |
| Written Opinion dated Nov. 17, 2016, in PCT/EP2016/071623, filed Sep. 14, 2016. |
| “Telezentrisches Objektiv” Retrieved from the Internet: https://de.wikipedia.org/wiki/Telezentrisches_Objektiv. Date of retrievel: Sep. 11, 2015, 3 Pages. (Cited on p. 53, line number 40 in the Specification of related cases U.S. Appl. No. 15/758,135). |
| Petr Bartu et al, “Conformable Large-AreaPposition-Sensitive Photodetectors Based on Luminescence-Collecting Silicone Waveguides,” Journal of Applied Physics, 107, 123101 (2010). |
| Roland Stolarski, “Fluorescent Naphthalimide Dyes for Polyester Fibres,” Fibres & Textiles in Eastern Europe, vol. 17, No. 2 (73) pp. 91-95 (2009). |
| Ayse Aktas et al., “Synthesis, Characterization, Electrochemical and Spectroelectrochemical Properties of Peripherally Tetra-Substituted Metal-Free and Metallophthalocyanines,” Dyes and Pigments, 99, (2013) 613-619. |
| Hairong Li, et al., “Syntheses and Properties of Octa-, Tetra-, and Di-Hydroxy-Substituted Phthalocyanines,” Tetrahedron, 65 (2009) 3357-3363. |
| Jing Liu, et al., “Sulfone-Rhodamines: A New Class of Near-Infrared Fluorescent Dyes for Bioimagin,” ACS Applied Materials& Interfaces, 8, 22953-22962 (2016). |
| T. Nedelcev et al., “Preparation and Characterization of a New Derivative of Rhodamine B with an Alkoxysilane Moiety,” Dyes and Pigments, 76 (2008), 550-556. |
| Aurore Loudet et al., “BODIPY Dyes and Their Derivatives: Syntheses and Spectroscopic Properties,” Chem.Rev., 107 (2007) 4981-4932. |
| Weili Zhao, et al., “Conformationaily Restricted Aza-Bothpy: A Highly fluorescent, Stable, Near-infrared-Absorbing Dye”, Angew. Chem. Int. Ed., 44 (2005) 1677-1679. |
| Georg M. Fischer, et al., “Near-Infrared Dyes and Fluorophores Based on Diketopyrrolopyrroles,” Angew. Chem. Int. Ed. 46 (2007) 3750-3753. |
| Amaresh Mishra et al., “Small Molecule Organic Semiconductors on the Move: Promises for Future Solar Energy Technology,” Angew. Chem. Int. Ed., 51, (2012), 2020-2067. |
| G. Seybold et al., “New Perylene and Violanthrone Dyestuffs for Fluorescent Collectors,” Dyes and Pigments, 11 (1989) 303-317. |
| Nam-Trung Nguyen, “Micro-Optofluidic Lenses: A Review”, Biomicrofluidics, 4, (2010) 031501. |
| Uriel Levy et al., “Tunable Optofluidic Devices,” Microfluid Nanofluid (2008) 4: 97-105. |
| Robert Koeppe et al., “Video-Speed Detection of tile Absolute Position of a Light Point on a Large-Area Photodetector Based on Luminescent Waveguides,” Optics Express, vol. 18, No. 3, (Feb. 1, 2010), 2209. |
| Office Action dated Aug. 20, 2018, in European Patent Application No. 14 728 197.6. |
| International Preliminary Report on Patentability and Written Opinion dated Aug. 22, 2019 in PCT/EP2018/053057. |
| A.G. Pattantyus-Abraham, I.J. Kramer, A.R. Barkhouse, X. Wang, G. Konstantatos, R. Debnath, L. Levina, I. Raabe, M.K. Nazeeruddin, M. Grätzel, and E.H. Sargent, Depleted-Heterojunction Colloidal Quantum Dot Solar Cells, ACS Nano 4 (6), May 24, 2010. |
| R. Martins and E. Fortunato, Thin Film Position Sensitive Detectors: from 1D to 3D Applications, Chap. 8 in R. A. Street (Ed.), Technology and Applications of Amorphous Silicon, Springer, 2010. |
| International Search Report dated Oct. 20, 2017 in PCT/EP2017/068956 filed on Jul. 27, 2017. |
| Leskela, M. et al., “Preparation of lead sulfide thin films by the atomic layer epitaxy process,” Pergamon Press plc, Vacuum/vol. 41/Nos. 4-6, pp. 1457-1459 (1990). |
| Dasgupta, N. et al., “Fabrication and Characterization of Lead Sulfide Thin Films by Atomic Layer Deposition,” The Electrochemical Society, ECS Transactions, 16 (4) 29-36 (2008), Total 8 pages. |
| Dasgupta, N. et al., “Design of an atomic layer deposition reactor for hydrogen sulfide compatibility,” Review of Scientific Instruments 81, 044102 (2010), Total 6 pages. |
| Xu, J. et al., “Atomic layer deposition of absorbing thin films on nanostructured electrodes for short-wavelength infrared photosensing,” AIP Publishing, Applied Physics Letters 107, 153105 (2015), Total 5 pages. |
| Blount, G., et al., “Photoconductive properties of chemically deposited PbS with dielectric overcoatings,” AIP Publishing, Journal of Applied Physics 46, 3489 (1975), Total 12 pages. |
| Groner, M. et al., “Low-Temperature Al2O3 Atomic Layer Deposition,” American Chemical Society, Chem. Mater., vol. 16, No. 4, 2004, pp. 639-645. |
| Yoon, W. et al., “Electrical Measurement Under Atmospheric Conditions of PbSe Nanocrystal Thin Films Passivated by Remote Plasma Atomic Layer Deposition of Al2O3,” IEEE Transactions on Nanotechnology, vol. 12, No. 2, Mar. 2013, pp. 146-151. |
| Hu, C., et al., “Air-stable short-wave infrared PbS colloidal quantum dot photoconductors passivated with Al2O3 atomic layer deposition,” AIP Publishing, Applied Physics Letters 105, 171110 (2014), Total 5 pages. |
| Liu, Y., et al., “Robust, Functional Nanocrystal Solids by Infilling with Atomic Layer Deposition,” ACS Publications, American Chemical Society, Nano Letters 2011, 11, pp. 5349-5355. |
| Liu, Y., et al., “PbSe Quantum Dot Field-Effect Transistors with Air-Stable Electron Mobilities above 7 cm2 V-1 s-1,” ACS Publications, American Chemical Society, Nano Letters 2013, 13, pp. 1578-1587. |
| George, S., “Atomic Layer Deposition: An Overview,” American Chemical Society, Chem. Rev. 2010. 110, pp. 111-131. |
| Konstantatos, G., et al., “Engineering the Temporal Response of Photoconductive Photodetectors via Selective Introduction of Surface Trap States,” American Chemical Society, Nano Letters 2008, vol. 8, No. 5, pp. 1446-1450. |
| List of integrated circuit packaging types (Wikipedia article, downloaded Jan. 15, 2019 from https://en.wikipedia.org/wiki/List_of_integrated_circuit_packaging_types). |
| Wikipedia, Article denoted, “Thermocouple”, retrieved Jul. 20, 2016. |
| Baeg et al., “Organic Light Detectors: Photodiodes and Phototransistors”, Advanced Materials, vol. 25, No. 31, Mar. 11, 2013, pp. 4267-4295. |
| J. Robertson, “High Dielectric Constant Oxides”, European Physical Journal Applied Physics, vol. 28, No. 3, pp. 265-291, 2004. |
| J.A. Kittl et al., “High-k Dielectrics for Future Generation Memory Devices”, Microelectronic Engineering, Vo. 86 (2009) 1789-1795. |
| Serap Günes, et al., “Hybrid Solar Cells”, Inorganica Chimica Acta 361, (2008), p. 581-588. |
| John E. Anthony, et al., “n-Type Organic Semiconductors in Organic Electronics”, Adv. Mater. 2010, 22, pp. 3876-3892. |
| Tian-yi Li, et al., “Small Molecule Near-Infrared Boron Dipyrromethene Donors for Organic Tandem Solar Cells”, J. Am. Chem. Soc. 2017, 139, 13636-13639. |
| Christian Uirich et al., “Organic Thin-Film Photovoltaic Cells Based on Oligothiophenes with Reduced Bandgap”, Adv. Funct. Mater. 2007, 17, pp. 2991-2999. |
| Ronald Gresser, et al., “Synthesis and Characterization of Near-Infrared Absorbing Benzannulated Aza-BODIPY Dyes”, Chem. Eur. J. 2011, 17, pp. 2939-2947. |
| Amaresh Mishra, et al., “Small Molecule Organic Semiconductors on the Move: Promises for Future Solar Energy Technology”, Angew. Chem. Int. Ed. 2012, 51, 2020-2067. |
| Huifeng Yao, et al., “Molecular Design of Benzodithiophene-Based Organic Photovoltaic Materials”, Chem. Rev. 2016, 116, 7397-7457. |
| Moritz Riede, et al., “Efficient Organic Tandem Solar Cells based on Small Molecules”, Adv. Funct. Mater. 2011, 21, pp. 3019-3028. |
| Rico Schueppel, et al., “Controlled Current Matching in Small Molecule Organic Tandem Solar Cells Using Doped Spacer Layers”, J. Appl. Phys. 107, 044503, 2010. |
| Jan Meiss et al., “Fluorinated Zinc Phthalocyanine as Donor for Efficient Vacuum-Deposited Organic Solar Cells,” Adv. Funct. Mater. 2012, 22, pp. 405-414. |
| Ikeoka, et al., “Real-Time Depth Estimation with Wide Detectable Range Using Horizontal Planes of Sharp Focus Proceedings”, ACIVS 2011: Advanced Concepts for Intelligent Vision Systems, pp. 669-680 (with English Abstract) (https://link.springer.com/chapter/10.1007/978-3-642-23687-7_60). |
| Office Action dated Dec. 18, 2018, in Japanese Patent Application No. 2016-518930. |
| Erwin Bacher, et al., “Synthesis and Characterization of Photo-Cross-Linkable Hole-Conducting Polymers”, Macromolecules, vol. 38, 2005, pp. 1640-1647. |
| H. Bruce Goodbrand, et al., “Ligand-Accelerated Catalysis of the Ullmann Condensation: Application to Hole Conducting Triarylamines”, J. Org. Chem., vol. 64, 1999, pp. 670-674. |
| Felix E. Goodson, et al., “Palladium-Catalyzed Synthesis of Pure, Regiodefined Polymeric Triarylamines”, J. Am. Chem. Soc., vol. 121, 1999, pp. 7527-7539. |
| John F. Hartwig, “Transition Metal Catalyzed Synthesis of Arylamines and Aryl Ethers from Aryl Halides and Triflates: Scope and Mechanism”, Angew. Chem. Int. Ed., vol. 37, 1998, pp. 2046-2067. |
| Sheila I. Hauck, et al., “Tetraazacyclophanes by Palladium-Catalyzed Aromatic Amination. Geometrically Defined, Stable, High-Spin Diradicals”, Organic Letters, vol. 1, No. 13, 1999, pp. 2057-2060. |
| Ping-Hsin Huang, et al., “Synthesis and Characterization of new fluorescent two-photon absorption chromophores”, J. Mater. Chem., vol. 16, 2006, pp. 850-857. |
| Qinglan Huang, et al., “Molecularly ‘Engineered’ Anode Adsorbates for Probing OLED Interfacial Structure-Charge Injection/Luminance Relationships: Large, Structure-Dependent Effects”, J. Am. Chem. Soc., vol. 125, 2003, pp. 14704-14705. |
| A. Balionyte, et al., “Carbazolyl-substituted triphenyldiamine derivatives as novel photoconductive amorphous molecular materials”, Journal of Photochemistry and Photobiology A: Chemistry, vol. 162, 2004, pp. 249-252. |
| G. R. A. Kumara, et al., “Fabrication of Dye-Sensitized Solar Cells Using Triethylamine Hydrothiocyanate as a Cul Crystal Growth Inhibitor”, Langmuir, vol. 18, 2002, pp. 10493-10495. |
| Lukas Schmidt-Mende, et al., “Organic Dye for Highly Efficient Solid-State Dye-Sensitized Solar Cells”, Adv. Mater., vol. 17, No. 7, 2005, pp. 813-815. |
| James Lindley, “Copper Assisted Nucleophilic Substitution of Aryl Halogen”, Tetrahedron, vol. 40, No. 9, 1984, pp. 1433-1456. |
| Yunqi Liu, et al., “Synthesis and characterization of a novel bipolar polymer for light-emitting diodes”, Chem. Commun., vol. 24, 1998, pp. 2747-2748. |
| Narukuni Hirata, et al., “Interface engineering for solid-state dye-sensitised nanocrystalline solar cells: the use of an organic redox cascade”, Chem. Commun., vol. 5, 2006, pp. 535-537. |
| Qingjiang Yu, et al., “High-Efficiency Dye-Sensitized Solar Cells: The Influence of Lithium Ions on Exciton Dissociation, Charge Recombination, and Surface States”, ACS Nano, vol. 4, No. 10, 2010, pp. 6032-6038. |
| Bin Peng, et al., “Systematic investigation of the role of compact TiO2 solar cells”, Coordination Chemistry Reviews, vol. 248, 2004, pp. 1479-1489. |
| Jiun Yi Shen, et al., “High Tg blue emitting materials for electroluminescent devices”, J. Mater. Chem., vol. 15, 2005, pp. 2455-2463. |
| Tobat P. I. Saragi, et al., “Comparison of Charge-Carrier Transport in Thin Films of Spiro-Linked Compounds and Their Corresponding Parent Compounds”, Adv. Funct. Mater., vol. 16, 2006, pp. 966-974. |
| V. P. S. Perera, et al., “Dye-Sensitized Solid-State Photovoltaic Cells Based on Dye Multilayer-Semiconductor Nanostructures”, J. Phys. Chem. B, vol. 107, 2003, pp. 13758-13761. |
| U. Bach, et al., “Solid-state dye-sensitized mesoporous TiO2 solar cells with high photon-to-electron conversion efficiencies”, Nature, vol. 395, 1998, pp. 583-585. |
| John P. Wolfe, et al., “Rational Development of Practical Catalysts for Aromatic Carbon-Nitrogen Bond Formation”, Acc. Chem. Res. vol. 31, 1998, pp. 805-818. |
| Bryant H. Yang, et al., “Palladium-Catalyzed amination of aryl halides and sulfonates”, Journal of Organometallic Chemistry, vol. 576, 1999, pp. 125-146. |
| Zhong Hui Li, et al., “Synthesis and Functional Properties of Strongly Luminescent Diphenylamino End-Capped Oligophenylenes”, J. Org. Chem., vol. 69, 2004, pp. 921-927. |
| Brian O'Regan, et al., “A low-cost, high-efficiency solar cell based on dye-sensitized colloidal TiO2 films”, Letters to Nature, vol. 353, 1991, pp. 737-740. |
| International Search Report dated Sep. 24, 2014 in PCT/EP2014/061682. |
| International Preliminary Report on Patentability and Written Opinion dated Dec. 15, 2015 in PCT/EP2014/061682. |
| International Preliminary Report on Patentability and Written Opinion dated Dec. 23, 2015 in PCT/EP2014/061695. |
| International Search Report and Written Opinion dated May 31, 2012 in PCT/IB2012/050592 filed on Feb. 9, 2012. |
| Extended European Search Report dated Nov. 19, 2014, issued in corresponding European Patent Application No. EP 12 74 6808. |
| Volker Viereck, et al., Large-area applications of optical MEMS: micromirror arrays guide daylight, optimize indoor illumination, Optical Components, Photonik International 2, 2009, pp. 48-49. |
| C.U. Murade, et al., “High speed adaptive liquid microlens array”, Optics Express, vol. 20, No. 16, Jul. 30, 2012, pp. 18180-18187. |
| Jason Heikenfeld, et al., “Recent Progress in Arrayed Electrowetting Optics”, Optics & Photonics News, vol. 20, No. 1, Jan. 1, 2009, pp. 20-26. |
| Tao Peng, “Algorithms and models for 3-D shape measurement using digital fringe projections”, Dissertation, University of Maryland (College Park, Md.), Jan. 16, 2007, 268 pages (http://drum.lib.umd.edu//handle/1903/6654; http://en.wikipedia.org/wiki/Gray_code;http://en.wikipedia.org/wiki/Structured-light_3D_scanner). |
| Jie-Ci Yang et al., “An Intelligent Automated Door Control System Based on a Smart”, Sensors, 2013, 13(5), pp. 5923-5936; doi: 10.3390/s130505923 www.mdpi.com/journal/sensors. |
| Tomas Leijtens, et al., “Hole Transport Materials with Low Glass Transition Temperatures and High Solubility for Application in Solid-State Dye-Sensitized Solar Cells”, ACS Nano, vol. 6, No. 2, 2012, pp. 1455-1462 www.acsnano.org. |
| International Search Report and Written Opinion dated Oct. 31, 2014 in PCT/EP2014/067466 filed Aug. 15, 2014. |
| Paul Pargas, “Phenomena of Image Sharpness Recognition of CdS and CdSe Photoconductors” Journal of the Optical Society of America, vol. 54, No. 4, Apr. 1964, pp. 516-519. |
| Paul Pargas, “A Lens Measuring Method Using Photoconductive Cells” Journal of the SMPTE, vol. 74, Jun. 1965, pp. 501-504. |
| Jack T. Billings, “An Improved Method for Critical Focus of Motion-Picture Optical Printers” Journal of the SMPTE, vol. 80, Aug. 1971, pp. 624-628. |
| International Search Report dated Sep. 9, 2014 in PCT/EP2014/061688 filed Jun. 5, 2014. |
| Written Opinion of the International Searching Authority dated Sep. 9, 2014 in PCT/EP2014/061688 filed Jun. 5, 2014. |
| Written Opinion of the International Searching Authority dated Mar. 12, 2015 in PCT/EP2014/078155 Filed Dec. 17, 2014. |
| International Search Report and Written Opinion of the International Searching Authority dated May 16, 2014 in PCT/IB2013/061095. |
| Seigo Ito, et al., “High-Efficiency Organic-Dye-Sensitized Solar Cells Controlled by Nanocrystalline-TiO2 Electrode Thickness”, Adv. Mater., vol. 18, 2006, pp. 1202-1205. |
| Atte Haapalinna, et al., “Measurement of the Absolute Linearity of Photodetectors with a Diode Laser,” Meas. Sci. Technol., 10, (1999) 1075-1078. |
| M. R. Andersen, et al., “Kinect Depth Sensor Evaluation for Computer Vision Applications”,Electrical and Computer Engineering, Technical Report ECE-TR-6, Aarhus University, 2012, 39 pages. |
| Takumi Kinoshita, et al., “Wideband dye-sensitized solar cells employing a phosphine-coordinated ruthenium sensitizer”, Nature Photonics, vol. 7, 2013, pp. 535-239. |
| Office Action dated Apr. 22, 2015 in Chinese Patent Application No. 201280018328.5 (submitting English translation only). |
| International Search Report and Written Opinion dated Sep. 3, 2014 in PCT/EP2014/061691. |
| International Preliminary Report on Patentability dated Sep. 25, 2015 in PCT/EP2014/061691. |
| Kuthirumal, S., et al., “Flexible Depth of Field Photography,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, No. 1 (2011), pp. 58-71. |
| Hiura Shinsaku et al., “Depth Measurement by the Multi-Focus Camera,” Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on Santa Barbara, CA, USA, Jun. 23-25, 1998, pp. 953-959. |
| International Preliminary Report on Patentability and Written Opinion dated Dec. 23, 2015 in PCT/EP2014/061688. |
| Denis Klimentjew, et al., “Multi Sensor Fusion of Camera and 3D Laser Range Finder for Object Recognition” 2010 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2010, pp. 236-241. |
| International Search Report and Written Opinion dated Nov. 21, 2014 in PCT/EP2014/067465. |
| “So funktioniert die DLP-Technologie” DLP-Technologie-www.dlp.com/de/technology/how-dlp-works, 2014, 2 Pages. |
| “NEW-Ultra-Compact Pockels Cells with Brewster Polarizer and Waveplate for Laser Q-Switching” Leysop Ltd, Manfacturers and Suppliers of Electro-Optic Components-http://www.leysop.com/integrated_pockels_cell.htm, Aug. 4, 2013, 2 Pages. |
| D. Scaramuzza, et al., “Extrinsic Self Calibration of a Camera and a 3D Laser Range Finder from Natural Scenes” 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007, 8 pages. |
| International Search Report dated Aug. 28, 2015, in PCT/IB2015/052769, filed Apr. 16, 2015. |
| International Search Report and Written Opinion dated Jun. 30, 2015 in PCT/IB15/052233 Filed Mar. 26, 2015. |
| International Search Report dated Sep. 22, 2015, in Application No. PCT/IB2015/052785, filed on Apr. 16, 2015. |
| International Search Report and Written Opinion dated Nov. 27, 2015, in PCT/IB2015/055121, filed Jul. 7, 2015. |
| International Search Report and Written Opinion dated Mar. 29, 2016, in PCT/IB2015/054536, filed Jun. 16, 2015. |
| International Search Report dated Jan. 18, 2016 in PCT/IB2015/057412 filed Sep. 28, 2015. |
| Wang, Feng-Peng et al., “Distance Measurement using Digital Cameras Based on Laser Spot Detection”, published on Jun. 30, 2011, School of Physics and Electronic Information, Gannan Normal University, Ganzhou 341000, China (with English Abstract). |
| Bahaa E. A. Saleh, et al., “Fundamentals of Photonics” John Wiley & Sons, Inc., Chapter 3, 1991, pp. 80-107 (with Cover Page). |
| International Search Report dated Mar. 21, 2016, in PCT/IB2015/059406. |
| International Search Report in PCT/IB2015/059411 dated Mar. 16, 2016 filed Dec. 7, 2015. |
| Nam-Trung Nguyen, “Micro-optofluidic Lenses: A review”, Biomicrofluidics, 2010, vol. 4, 031501-15. |
| Uriel Levy et al., “Tunable optofluidic devices”, Microfluid Nanofluid, 2008, vol. 4, pp. 97-105. |
| International Search Report dated Mar. 15, 2016 in PCT/IB2015/059404 filed Dec. 7, 2015. |
| International Search Report dated Mar. 21, 2016, in PCT/IB2015/059403, filed Dec. 7, 2015. |
| International Preliminary Report and Written Opinion dated Mar. 10, 2016, in PCT/IB2015/059404. |
| International Search Report dated Mar. 22, 2016 in PCT/IB2015/059408 filed Dec. 7, 2015. |
| International Search Report dated May 27, 2016, in PCT/EP2016/051817, filed Jan. 28, 2016. |
| International Search Report dated May 20, 2016, in PCT/EP2016/054532. |
| International Preliminary Report on Patentability dated Aug. 1, 2017, in PCT/EP2016/051817. |
| Linyi Bian, et al., “Recent Progress in the Design of Narrow Bandgap Conjugated Polymers for High-Efficiency Organic Solar Cells”, Progress in Polymer Science, vol. 37, 2012, pp. 1292-1331. |
| Antonio Facchetti, “Polymer donor-polymer acceptor (all-polymer) solar Cells”, Materials Today, vol. 16 No. 4, Apr. 2013, pp. 123-132. |
| Graham H. Carey, et al., “Colloidal Quantum Dot Solar Cells”, Chemical Reviews, vol. 115 No. 23, 2015, pp. 12732-12763. |
| Jason P. Clifford, et al., “Fast, Sensitive and Spectrally Tunable Colloidal Quantum-Dot Photodetectors”, Nature Nanotechnology, Nov. 2008, pp. 1-5. |
| Kotaro Fukushima, et al., “Crystal Structures and Photocarrier Generation of Thioindigo Derivatives”, Journal of Physical Chemistry B, vol. 102 No. 31, 1998, pp. 5985-5990. |
| Serap Günes, et al., “Hybrid Solar Cells”, Inorganica Chimica Acta, vol. 361, 2008, pp. 581-588. |
| R. S. Mane, et al., “Chemical Deposition Method for Metal Chalcogenide Thin Films”, Materials Chemistry and Physics, vol. 65, 2000, pp. 1-31. |
| Wilfried Hermes, “Emerging Thin-Film Photovoltaic Technologies”, Chemie Ingenieur Technik, 2015, vol. 87 No. 4, pp. 376-389. |
| Paul H. Keck, “Photoconductivity in Vacuum Coated Selenium Films”, Journal Optical Society of America, vol. 42 No. 4, Apr. 1952, pp. 221-225, with cover page. |
| Frank H. Moser, et al., “Phthalocyanine Compounds”, Reinhold Publishing Corporation, 1963, p. 69-76 with cover pages. |
| M. Popescu, “Disordered Chalcogenide Optoelectronic Materials: Phenomena and Applications”, Journal of Optoelectronics and Advanced Materials, vol. 7 No. 4, Aug. 2005, pp. 2189-2210. |
| Friedrich Andreas Sperlich, “Electron Paramagnetic Resonance Spectroscopy of Conjugated Polymers and Fullerenes for Organic Photovoltaics”, Julius-Maximilians-Universität Würzburg, 2013, pp. 1-127. |
| F. Stöckmann, “Superlinear Photoconductivity”, Physica Status Solidi, vol. 34, 1969, pp. 751-757. |
| Evangelos Theocharous, “Absolute Linearity Measurements on a PbS Detector in the Infrared”, Applied Optics, vol. 45 No. 11, Apr. 10, 2006, pp. 2381-2386. |
| Evangelos Theocharous, et al., “Absolute Linearity Measurements on HgCdTe Detectors in the Infrared Region”, Applied Optics, vol. 43 No. 21, Jul. 20, 2004, pp. 4182-4188. |
| Arthur L.Thomas, “Phthalocyanine Research and Applications”, CRC Press, 1990, pp. 253-271 with cover pages. |
| International Search Report and Written Opinion dated Jul. 19, 2016 in PCT/EP2016/058487 filed Apr. 18, 2016. |
| Japan Office Action dated Jun. 9, 2020, in parallel Japanese Patent Application 2016-518930. |
| Number | Date | Country | |
|---|---|---|---|
| 20180031672 A1 | Feb 2018 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 14896958 | US | |
| Child | 15727733 | US |
