This specification describes examples of techniques for integrating a sensing system into headlight optics.
A vehicle, such as an automobile, includes an illumination system. A headlight, for example, is located on the front of the vehicle and illuminates a path in front the vehicle, at least partly. The vehicle may also include a sensor on a front of the vehicle to sense objects in the vehicle's path or otherwise in front of the vehicle.
An example system includes an infrared emitter to output infrared light towards a target, where the infrared light reflects from the target to produce reflected infrared light, and a detector to receive the reflected infrared light and to provide a signal based on the reflected infrared light. The system also includes a lighting system that includes a light emitter to output visible light, a mirror configured (i) to allow the visible light to pass through the mirror and to reflect the reflected infrared light onto the detector, or (ii) to allow the reflected infrared light to pass through the mirror and onto the detector and to reflect the visible light, and one or more optical elements configured to affect the visible light and the reflected infrared light. The mirror is between the light emitter and the one or more optical elements or the mirror is between the detector and the one or more optical elements. The example system may include one or more of the following features, either alone or in combination.
The lighting system may include a headlight of a vehicle. The detector may include a silicon photomultiplier (SiPM) sensor that is responsive to infrared wavelengths of light. The infrared emitter may include a near infrared (NIR) laser emitter. The infrared light may include laser light. The mirror may include a dielectric mirror having a dichroic filter to allow the visible light to pass and to reflect the infrared light. The infrared emitter and the detector may be components of a light detection and ranging (LIDAR) system for a vehicle. The LIDAR system may be configured for use in at least one of: automatic emergency braking for the vehicle, forward sensing for the vehicle, or automated driving for the vehicle.
Along a first direction of an optical path containing the one or more optical elements, the one or more optical elements may direct the visible light away from the light emitter. Along a second direction of the optical path, the one or more optical elements may direct the reflected infrared light towards the mirror. Along the first direction of the optical path, the one or more optical elements may direct the visible light. Along the second direction of the optical path, the one or more optical elements may at least partially focus the reflected infrared light. In at least one dimension, at least one of the optical elements may have a dimension that is at least ten times greater in size than a dimension of optics in the infrared emitter.
The detector may include cells that are addressable for operation. The cells may be addressable in sequence by the reflected infrared light to produce a scan of a field of view in front of the infrared emitter. The one or more optical elements may include at least one convex lens. The one or more optical elements may include at least one concave-convex lens. The one or more optical elements may include at least one telecentric stop. The light emitter may include a light-emitting diode matrix array configured to project the visible light toward the mirror.
An example method of scanning a target includes the following operations: outputting infrared light toward the target; receiving reflected infrared light from the target via first optics that are also configured to output visible light toward the target, where the first optics are physically separate from second optics used to output the infrared light toward the target; directing, via the first optics, the reflected infrared light toward a dielectric mirror comprising a dichroic filter configured (i) to reflect infrared light and to allow the visible light to pass through the dielectric mirror, or (ii) to reflect the visible light and to allow the infrared light to pass through the dielectric mirror; and receiving, at a detector, the reflected infrared light via (e.g., by way of or from) the dielectric mirror, where the detector provides one or more signals based on the reflected infrared light. The example method may include one or more of the following features, either alone or in combination.
Along a first direction of an optical path containing the optics, the optics may direct the visible light away from a light emitter. Along a second direction of the optical path, the optics may direct the reflected infrared light towards the dielectric mirror. Along the first direction of the optical path, the optics may direct the visible light. Along the second direction of the optical path, the optics may direct the reflected infrared light. In at least one dimension, the first optics are at least ten times greater in size than the second optics. The method may performed by a light detection and ranging (LIDAR) system for a vehicle. The LIDAR system may be used in at least one of: automatic emergency braking for the vehicle, forward sensing for the vehicle, or automated driving for the vehicle.
Any two or more of the features described in this specification, including in this summary section, may be combined to form implementations not specifically described in this specification.
The systems, techniques, components, structures, and variations thereof described herein, or portions thereof, can be implemented using, or controlled by, a computer program product that includes instructions that are stored on one or more non-transitory machine-readable storage media, and that are executable on one or more processing devices to execute at least some of the operations described herein. The systems, techniques, components, structures, and variations thereof described herein, or portions thereof, can be implemented as an apparatus, method, or electronic system that can include one or more processing devices and computer memory to store executable instructions to implement various operations. The systems, techniques, components, structures, and variations thereof described herein may be configured, for example, through design, construction, size, shape, arrangement, placement, programming, operation, activation, deactivation, and/or control.
The details of one or more implementations are set forth in the accompanying drawings and the following description. Other features and advantages will be apparent from the description and drawings, and from the claims.
Like reference numerals in different figures indicate like elements.
Described herein are example implementations of systems that use separate optical elements (“optics”) for transmitting and receiving sensor signals. A type of sensor that may be used includes, for example, a light detection and ranging (LIDAR) system to detect one or more objects exterior to the vehicle. LIDAR is a technique for determining ranges (e.g., variable distance) by targeting an object with a laser and measuring the time for the reflected light to return to the receiver.
In the example systems described herein, the LIDAR system is integrated into headlight optics, which are different and separate from the LIDAR emitter optics. More specifically, an infrared emitter outputs infrared light, such as an infrared laser beam, towards a target, such as an object in the vehicle's path. The incident infrared light is reflected from the object back to optics in the vehicle's headlight. The optics in the vehicle's headlight direct the reflected infrared light to a detector. The detector receives the reflected infrared light and is responsive to the reflected infrared light to determine the presence, location, size, and/or other features of the object.
Using optics in the vehicle's headlight to receive and to direct the reflected infrared light may be advantageous. For example, optics needed to receive reflected infrared light accurately are usually of a greater size than that required to emit or to transmit the infrared light. By using existing optics in the headlight, which is larger than the optics in the infrared emitter, the amount of optics on the vehicle can be reduced. That is, there is no need for large, separate sensor optics to receive the reflected infrared light, since pre-existing, large optics in the headlight performs that function. Moreover, the large optics in the vehicle's headlight may improve the quality of the signal that reaches the detector, thereby providing more accurate detection results.
Another potential advantage of the example systems described herein is that existing headlight cleaning mechanisms can be used to clean the larger headlight optics used in the LIDAR system. Because there is no large, separate sensor optics to receive the reflected infrared light, there is likewise no need for separate cleaning mechanisms or additional cleaning solution for such sensor optics.
The system's components include an infrared emitter 14 to output infrared light towards a target. The infrared light may be a laser beam having wavelengths in the range of about 700 nanometers (nm) to 1 millimeter (mm). In some implementations, the infrared light is near infrared light (NIR), although the system is not limited as such. NIR light is generally considered to be in the range of 700 nm to 2500 nm. In a particular example, the infrared light has a wavelength of about 940 nm. In some implementations, the infrared light is shortwave infrared light (SWIR). SWIR light is generally considered to be in a range of wavelengths from 0.9 to 1.7 microns.
Infrared emitter 14 may include an array of VCSELS (vertical-cavity surface-emitting laser) (for example, 1×8) that are individually addressable and may be fired in sequence to scan a field-of-view (FOV) in the front of the automobile. As shown in FIG. 2, “the front” of automobile 10 is not limited to directly in front, but rather includes any area 16 that is in front of a line 17 parallel to the automobile's front end. Likewise, “the back” of the automobile is not limited to directly in back, but rather includes any area 18 that is in back of a line 19 parallel to the vehicle's back end.
Infrared emitter 14 may be a relatively small device having a dimension of less than 0.5 mm or a larger device having a dimension of greater than 0.5 mm. The dimension may be, for example, a side of the device or a diameter of the device. During operation of the emitter, the infrared light may be moved side-to-side or up-and-down—in other words, scanned—in a plane by addressing the VCSELS in the array in linear sequence. As shown in
The infrared light incident on an object 21 (in this example, a person) is reflected off of the object. The resulting reflected infrared light 22 propagates through the air back to automobile 10. All or at least some of that reflected infrared light is incident on headlight 25 (
The light emitted from the LED array may be visible light having wavelengths within in a range of about 400 nanometers (nm) to about 700 nm. Light having any wavelength in this range may be emitted. The light from the LED array is the light that is output from the headlight to illuminate a field in front of the automobile. The optics—e.g., lenses and/or mirrors—in the headlight are configured to affect the direction and/or shape of the visible light output to the environment.
The headlight may be controllable by the operator and/or a control system 32, which is described below with respect to
Components of system 28 also include a dichroic mirror (or simply “mirror”) 35. Mirror 35 is dichroic in the sense that it allows light of certain wavelengths to pass through the mirror unimpeded and reflects light of other wavelengths. In this example, mirror 35 is coated with a thin film that allows visible light to pass unimpeded while reflecting infrared light. A mirror of this type is known as a “hot mirror”.
In the example configuration of
In some implementations, detector 36 is or includes a flat silicon photomultiplier (SiPM) detector having cells that are responsive to infrared wavelengths of light, such as 940 nm or whatever wavelength is output by the infrared emitter. The cells are addressable in sequence by reflected infrared light resulting from infrared light scanned across a FOV in front of the automobile. In some implementations, the cells of the detector react to incident infrared light 22, for example, by illuminating and/or generating signals based on the infrared light. In implementations that use laser light other than infrared light, detector 36 may be responsive to laser light other than infrared light.
In some implementations, control system 32 may synchronously sample the detector output using rolling shutter readout in order to identify where the reflected infrared impacted the detector. A relatively low duty factor may be used to maximize SNR (signal-to-noise) ratio. The control system uses the information obtained from the detector to determine the presence, location, size, and/or other features of the object from which the reflected infrared light was received. Multiple reflections—for example, from scanning of the incident infrared light—may be required for the controller to make a determination about the presence, location, size, and/or other features of the object.
Signals obtained via the LIDAR system may be used by the control system to control and/or to inform various automobile operations including, but not limited to, automatic emergency braking for the automobile, forward sensing for the automobile, or automated/self-driving for the automobile. For example, if an object is detected in the automobile's path of travel, the vehicles brakes may be activated, or the steering of the automobile may be controlled to avoid the object, as described below.
In this example, optics 38 also include two lenses 38a, 38b; however, more than two or fewer than two lenses may be used. For example, one lens may be used or three, four, five or more lenses may be used. In this example, the two lenses are aspherical and include a convex lens 38b and a concave-convex lens 38a. As shown in
Stated otherwise, in a first direction 48 (
In some implementations, an example lens 38a has a 13 mm aperture entrance, which is more than ten times the dimension of an example infrared emitter having a side or a diameter of 0.5 mm. This dichotomy between the size of the infrared emitter 14 and the size of the headlight's lens 38a enables the LIDAR operation and advantages described above. The dimensions described herein, however, are only examples. In some implementations, the entrance to the headlight optics may be twice the dimension of the infrared emitter, five times the dimension of the infrared emitter, fifteen times the dimension of an infrared emitter, twenty times the dimension of the infrared emitter, and so forth, or any appropriate value in between these.
In some implementations, example optics 50 of
The implementations of the LIDAR system described herein may have a FOV of approximately 50°×10° and may reliably detect 10% reflective objects at a 40 meter (me) distance in full sunlight. These numbers, however are examples only and are not limiting. For example, the range of the system can be increased by scaling the optics.
The example systems described herein, such as systems 10, 28, and 60, each may be controlled a control system, such as control system 32 of
Although the preceding descriptions focus on using LIDAR on a vehicle's front-end, LIDAR may be incorporated on the back-end of a vehicle to scan region 18 (
Furthermore, although the preceding descriptions focus on using LIDAR, other types of detectors may be used. For example, a line scan sensor may be used in place of LIDAR detector. In an example, a line scan sensor may be a camera that uses a single row of light-sensitive pixels that image across the object, line-by-line, using high intensity lighting. A completed image is constructed by combining the lines.
In an example system of this type, headlight optics, which are different and separate from line scan detector optics, are integrated into a line scan detection system. Similar to above, an emitter outputs light, such as scanning laser beam, towards a target, such as an object in the vehicle's path. The incident light is reflected from the object back to optics in the vehicle's headlight. The optics in the vehicle's headlight direct the reflected light to a line scan detector. The line detector receives the reflected infrared light and is responsive to the reflected light to generate signals used by the control system to determine the presence, location, size, and/or other features of the object using line scan technology.
All or part of the systems and processes described in this specification and their various modifications may be configured or controlled at least in part by one or more computing systems, such as control system 32, using one or more computer programs tangibly embodied in one or more information carriers, such as in one or more non-transitory machine-readable storage media. A computer program can be written in any form of programming language, including compiled or interpreted languages, and it can be deployed in any form, including as a stand-alone program or as a module, part, subroutine, or other unit suitable for use in a computing environment. A computer program can be deployed to be executed on one computer or on multiple computers at one site or distributed across multiple sites and interconnected by a network.
Actions associated with configuring or controlling the systems and processes described herein can be performed by one or more programmable processors executing one or more computer programs to control or to perform all or some of the operations described herein. All or part of the systems and processes can be configured or controlled by special purpose logic circuitry, such as, an FPGA (field programmable gate array) and/or an ASIC (application-specific integrated circuit) or embedded microprocessor(s) localized to the instrument hardware.
Processors suitable for the execution of a computer program include, by way of example, both general and special purpose microprocessors, and any one or more processors of any kind of digital computer. Generally, a processor will receive instructions and data from a read-only storage area or a random access storage area or both. Elements of a computer include one or more processors for executing instructions and one or more storage area devices for storing instructions and data. Generally, a computer will also include, or be operatively coupled to receive data from, or transfer data to, or both, one or more machine-readable storage media, such as mass storage devices for storing data, such as magnetic, magneto-optical disks, or optical disks. Non-transitory machine-readable storage media suitable for embodying computer program instructions and data include all forms of non-volatile storage area, including by way of example, semiconductor storage area devices, such as EPROM (erasable programmable read-only memory), EEPROM (electrically erasable programmable read-only memory), and flash storage area devices; magnetic disks, such as internal hard disks or removable disks; magneto-optical disks; and CD-ROM (compact disc read-only memory) and DVD-ROM (digital versatile disc read-only memory).
Elements of different implementations described may be combined to form other implementations not specifically set forth previously. Elements may be left out of the systems described previously without adversely affecting their operation or the operation of the system in general. Furthermore, various separate elements may be combined into one or more individual elements to perform the functions described in this specification.
Other implementations not specifically described in this specification are also within the scope of the following claims.
Number | Name | Date | Kind |
---|---|---|---|
1520245 | Jules | Dec 1924 | A |
3712985 | Swarner et al. | Jan 1973 | A |
3898656 | Jensen | Aug 1975 | A |
4125864 | Aughton | Nov 1978 | A |
4184154 | Albanese et al. | Jan 1980 | A |
4362361 | Campbell et al. | Dec 1982 | A |
4439766 | Kobayashi et al. | Mar 1984 | A |
4765715 | Matsudaira et al. | Aug 1988 | A |
4957362 | Peterson | Sep 1990 | A |
5200606 | Krasutsky et al. | Apr 1993 | A |
5210586 | Grage et al. | May 1993 | A |
5274379 | Carbonneau et al. | Dec 1993 | A |
5428215 | Dubois et al. | Jun 1995 | A |
5604695 | Cantin et al. | Feb 1997 | A |
5793491 | Wangler et al. | Aug 1998 | A |
5889490 | Wachter et al. | Mar 1999 | A |
5966226 | Gerber | Oct 1999 | A |
6078395 | Jourdain et al. | Jun 2000 | A |
6122222 | Hossack et al. | Sep 2000 | A |
6292285 | Wang et al. | Sep 2001 | B1 |
6384770 | De Gouy et al. | May 2002 | B1 |
6437854 | Hahlweg | Aug 2002 | B2 |
6556282 | Jamieson et al. | Apr 2003 | B2 |
6559932 | Halmos | May 2003 | B1 |
7202941 | Munro | Apr 2007 | B2 |
7227116 | Gleckler | Jun 2007 | B2 |
7272271 | Kaplan et al. | Sep 2007 | B2 |
7440084 | Kane | Oct 2008 | B2 |
7483600 | Achiam et al. | Jan 2009 | B2 |
7489865 | Varshneya et al. | Feb 2009 | B2 |
7544945 | Tan et al. | Jun 2009 | B2 |
7570347 | Ruff et al. | Aug 2009 | B2 |
7675610 | Redman et al. | Mar 2010 | B2 |
7832762 | Breed | Nov 2010 | B2 |
8044999 | Mullen et al. | Oct 2011 | B2 |
8050863 | Trepagnier et al. | Nov 2011 | B2 |
8134637 | Rossbach et al. | Mar 2012 | B2 |
8223215 | Oggier et al. | Jul 2012 | B2 |
8363511 | Frank et al. | Jan 2013 | B2 |
8508723 | Chang et al. | Aug 2013 | B2 |
8629975 | Dierking et al. | Jan 2014 | B1 |
8742325 | Droz et al. | Jun 2014 | B1 |
8836761 | Wang et al. | Sep 2014 | B2 |
8836922 | Pennecot et al. | Sep 2014 | B1 |
8879050 | Ko | Nov 2014 | B2 |
9007569 | Amzajerdian et al. | Apr 2015 | B2 |
9063549 | Pennecot et al. | Jun 2015 | B1 |
9086273 | Gruver et al. | Jul 2015 | B1 |
9090213 | Lawlor et al. | Jul 2015 | B2 |
9097646 | Campbell et al. | Aug 2015 | B1 |
9140792 | Zeng et al. | Sep 2015 | B2 |
9157790 | Shpunt et al. | Oct 2015 | B2 |
9267787 | Shpunt et al. | Feb 2016 | B2 |
9285477 | Smith et al. | Mar 2016 | B1 |
9482412 | Schwaiger et al. | Nov 2016 | B2 |
9575162 | Owechko | Feb 2017 | B2 |
9618742 | Droz et al. | Apr 2017 | B1 |
9651417 | Shpunt et al. | May 2017 | B2 |
9658322 | Lewis | May 2017 | B2 |
9696427 | Wilson et al. | Jul 2017 | B2 |
9711493 | Lin | Jul 2017 | B2 |
9753351 | Eldada | Sep 2017 | B2 |
9823351 | Haslim et al. | Nov 2017 | B2 |
9857472 | Mheen et al. | Jan 2018 | B2 |
9869754 | Campbell et al. | Jan 2018 | B1 |
10018725 | Liu | Jul 2018 | B2 |
10018726 | Hall et al. | Jul 2018 | B2 |
10024655 | Raguin et al. | Jul 2018 | B2 |
10078133 | Dussan | Sep 2018 | B2 |
10088557 | Yeun | Oct 2018 | B2 |
10148060 | Hong et al. | Dec 2018 | B2 |
10175360 | Zweigle et al. | Jan 2019 | B2 |
10183541 | Van Den Bossche et al. | Jan 2019 | B2 |
10369922 | Nakashima et al. | Aug 2019 | B2 |
10408924 | Mheen et al. | Sep 2019 | B2 |
10411524 | Widmer et al. | Sep 2019 | B2 |
10416292 | De Mersseman et al. | Sep 2019 | B2 |
10473767 | Xiang et al. | Nov 2019 | B2 |
10473784 | Puglia | Nov 2019 | B2 |
10473943 | Hughes | Nov 2019 | B1 |
10551501 | Lachapelle | Feb 2020 | B1 |
10557923 | Watnik et al. | Feb 2020 | B2 |
10558044 | Pan | Feb 2020 | B2 |
10564268 | Turbide et al. | Feb 2020 | B2 |
10578724 | Droz et al. | Mar 2020 | B2 |
10627493 | Morikawa et al. | Apr 2020 | B2 |
10678117 | Shin et al. | Jun 2020 | B2 |
10768346 | Miner et al. | Sep 2020 | B2 |
10775508 | Rezk et al. | Sep 2020 | B1 |
10937773 | T'ng et al. | Mar 2021 | B2 |
11326758 | de Mersseman | May 2022 | B1 |
20010052872 | Hahlweg | Dec 2001 | A1 |
20030043363 | Jamieson et al. | Mar 2003 | A1 |
20040028418 | Kaplan et al. | Feb 2004 | A1 |
20040031906 | Gleckler | Feb 2004 | A1 |
20040135992 | Munro | Jul 2004 | A1 |
20040155249 | Narui et al. | Aug 2004 | A1 |
20050219506 | Okuda et al. | Oct 2005 | A1 |
20060072189 | Dimarzio et al. | Apr 2006 | A1 |
20060221250 | Rossbach et al. | Oct 2006 | A1 |
20060232052 | Breed | Oct 2006 | A1 |
20060239312 | Kewitsch et al. | Oct 2006 | A1 |
20070140613 | Achiam et al. | Jun 2007 | A1 |
20070181810 | Tan et al. | Aug 2007 | A1 |
20070211786 | Shattil | Sep 2007 | A1 |
20070219720 | Trepagnier et al. | Sep 2007 | A1 |
20080088499 | Bonthron et al. | Apr 2008 | A1 |
20080095121 | Shattil | Apr 2008 | A1 |
20080100510 | Bonthron et al. | May 2008 | A1 |
20080219584 | Mullen et al. | Sep 2008 | A1 |
20080246944 | Redman et al. | Oct 2008 | A1 |
20090002680 | Ruff et al. | Jan 2009 | A1 |
20090010644 | Varshneya et al. | Jan 2009 | A1 |
20090190007 | Oggier et al. | Jul 2009 | A1 |
20090251361 | Beasley | Oct 2009 | A1 |
20100027602 | Abshire et al. | Feb 2010 | A1 |
20100157280 | Kusevic et al. | Jun 2010 | A1 |
20100182874 | Frank et al. | Jul 2010 | A1 |
20120075422 | Wang et al. | Mar 2012 | A1 |
20120182540 | Suzuki et al. | Jul 2012 | A1 |
20120206712 | Chang et al. | Aug 2012 | A1 |
20120236379 | Da Silva et al. | Sep 2012 | A1 |
20120310516 | Zeng | Dec 2012 | A1 |
20120310519 | Lawlor et al. | Dec 2012 | A1 |
20130088726 | Goyal et al. | Apr 2013 | A1 |
20130093584 | Schumacher | Apr 2013 | A1 |
20130120760 | Raguin et al. | May 2013 | A1 |
20130166113 | Dakin et al. | Jun 2013 | A1 |
20130206967 | Shpunt et al. | Aug 2013 | A1 |
20130207970 | Shpunt et al. | Aug 2013 | A1 |
20130222786 | Hanson et al. | Aug 2013 | A1 |
20130250276 | Chang et al. | Sep 2013 | A1 |
20130265561 | Takahira et al. | Oct 2013 | A1 |
20140009747 | Suzuki et al. | Jan 2014 | A1 |
20140036252 | Amzajerdian et al. | Feb 2014 | A1 |
20140049609 | Wilson et al. | Feb 2014 | A1 |
20140152975 | Ko | Jun 2014 | A1 |
20140168631 | Haslim et al. | Jun 2014 | A1 |
20140233942 | Kanter | Aug 2014 | A1 |
20140313519 | Shpunt et al. | Oct 2014 | A1 |
20150009485 | Mheen et al. | Jan 2015 | A1 |
20150055117 | Pennecot et al. | Feb 2015 | A1 |
20150234308 | Lim et al. | Aug 2015 | A1 |
20150260843 | Lewis | Sep 2015 | A1 |
20150301162 | Kim | Oct 2015 | A1 |
20150371074 | Lin | Dec 2015 | A1 |
20150378011 | Owechko | Dec 2015 | A1 |
20160047895 | Dussan | Feb 2016 | A1 |
20160047896 | Dussan | Feb 2016 | A1 |
20160047903 | Dussan | Feb 2016 | A1 |
20160138944 | Lee et al. | May 2016 | A1 |
20160146926 | Jungwirth | May 2016 | A1 |
20160178749 | Lin et al. | Jun 2016 | A1 |
20160200161 | Van Den Bossche et al. | Jul 2016 | A1 |
20160245902 | Watnik et al. | Aug 2016 | A1 |
20160280229 | Kasahara | Sep 2016 | A1 |
20160291160 | Zweigle et al. | Oct 2016 | A1 |
20160357187 | Ansari | Dec 2016 | A1 |
20160363669 | Liu | Dec 2016 | A1 |
20160380488 | Widmer et al. | Dec 2016 | A1 |
20170023678 | Pink et al. | Jan 2017 | A1 |
20170090013 | Paradie et al. | Mar 2017 | A1 |
20170102457 | Li et al. | Apr 2017 | A1 |
20170199273 | Morikawa et al. | Jul 2017 | A1 |
20170219696 | Hayakawa et al. | Aug 2017 | A1 |
20170269215 | Hall et al. | Sep 2017 | A1 |
20170270381 | Itoh et al. | Sep 2017 | A1 |
20170285346 | Pan | Oct 2017 | A1 |
20170307736 | Donovan | Oct 2017 | A1 |
20170307737 | Ishikawa et al. | Oct 2017 | A1 |
20170310948 | Pei et al. | Oct 2017 | A1 |
20170329010 | Warke et al. | Nov 2017 | A1 |
20170329011 | Warke et al. | Nov 2017 | A1 |
20180052378 | Shin et al. | Feb 2018 | A1 |
20180113193 | Huemer et al. | Apr 2018 | A1 |
20180128903 | Chang | May 2018 | A1 |
20180136328 | Moss | May 2018 | A1 |
20180143309 | Pennecot et al. | May 2018 | A1 |
20180180718 | Lin | Jun 2018 | A1 |
20180224529 | Wolf et al. | Aug 2018 | A1 |
20180241477 | Turbide et al. | Aug 2018 | A1 |
20180275249 | Campbell et al. | Sep 2018 | A1 |
20180275275 | Lundquist | Sep 2018 | A1 |
20180284237 | Campbell et al. | Oct 2018 | A1 |
20180284282 | Hong et al. | Oct 2018 | A1 |
20180284286 | Eichenholz et al. | Oct 2018 | A1 |
20180286909 | Eichenholz et al. | Oct 2018 | A1 |
20180306913 | Bartels | Oct 2018 | A1 |
20180341009 | Niclass et al. | Nov 2018 | A1 |
20180364334 | Xiang et al. | Dec 2018 | A1 |
20180372870 | Puglia | Dec 2018 | A1 |
20190018143 | Thayer et al. | Jan 2019 | A1 |
20190101644 | De Mersseman et al. | Apr 2019 | A1 |
20190113200 | Murakami | Apr 2019 | A1 |
20190123508 | Hong et al. | Apr 2019 | A1 |
20190129009 | Eichenholz et al. | May 2019 | A1 |
20190139951 | T'ng et al. | May 2019 | A1 |
20190146060 | Qiu et al. | May 2019 | A1 |
20190195990 | Shand | Jun 2019 | A1 |
20190221988 | Villeneuve et al. | Jul 2019 | A1 |
20190235064 | Droz et al. | Aug 2019 | A1 |
20190242978 | Weed et al. | Aug 2019 | A1 |
20190265336 | Zhang et al. | Aug 2019 | A1 |
20190310351 | Hughes et al. | Oct 2019 | A1 |
20200081129 | De Mersseman et al. | Mar 2020 | A1 |
20200088847 | De Mersseman et al. | Mar 2020 | A1 |
20200249354 | Yeruhami et al. | Aug 2020 | A1 |
20200284906 | Eichenholz et al. | Sep 2020 | A1 |
20200341120 | Ahn et al. | Oct 2020 | A1 |
20200341121 | Ahn et al. | Oct 2020 | A1 |
20210018602 | De Mersseman et al. | Jan 2021 | A1 |
20210190919 | de Mersseman | Jun 2021 | A1 |
20220146817 | Erdl et al. | May 2022 | A1 |
20220333757 | Li et al. | Oct 2022 | A1 |
20220403998 | de Mersseman et al. | Dec 2022 | A1 |
Number | Date | Country |
---|---|---|
509180 | Jun 2011 | AT |
6638286 | Jun 1987 | AU |
102508258 | Jun 2012 | CN |
19731754 | Feb 1999 | DE |
19757840 | Sep 1999 | DE |
102004033944 | Feb 2006 | DE |
102006031114 | Jan 2008 | DE |
102008045387 | Mar 2010 | DE |
102014218957 | Mar 2016 | DE |
102015217908 | Mar 2017 | DE |
102015224692 | Jun 2017 | DE |
102016201606 | Aug 2017 | DE |
0112188 | Jun 1984 | EP |
0578129 | Jan 1994 | EP |
2124069 | Nov 2009 | EP |
2696166 | Feb 2014 | EP |
2824418 | Jan 2015 | EP |
3147685 | Mar 2017 | EP |
3203259 | Aug 2017 | EP |
3457080 | Mar 2019 | EP |
201800001765 | Jul 2019 | IT |
2002148556 | May 2002 | JP |
2018041723 | Mar 2018 | JP |
20190105889 | Sep 2019 | KR |
1994019705 | Sep 1994 | WO |
03009048 | Jan 2003 | WO |
2008008970 | Jan 2008 | WO |
2015014556 | Feb 2015 | WO |
2016072483 | May 2016 | WO |
2016097409 | Jun 2016 | WO |
2016204138 | Dec 2016 | WO |
2018229131 | Dec 2018 | WO |
2018229131 | Dec 2018 | WO |
2019050643 | Mar 2019 | WO |
2019099166 | May 2019 | WO |
2020243038 | Dec 2020 | WO |
2020243038 | Dec 2020 | WO |
Entry |
---|
“A milestone for laswer sensors in self-driving cars,” OSRAM Opto Semiconductors, Trade Press, Jul. 2016, 3 pages. |
“Advanced Scientific Concepts,” http://www.advancedscientificconcepts.com/products/overview.html, 2015, 4 pages. |
“Cameras,” Continental Automotive, https://www.continental-automotive.com/en-gl/Passenger-Cars/Chassis-Safety/Advanced-Driver-Assistance-Systems/Cameras, 2017, 2 pages. |
“Hi-Res 3D Flash LIDAR will supplement Continental's existing portfolio for automated driving,” Continental AG, Mar. 2016, 2 pages. |
“Multi Function Camera with Lidar,” Continental Automotive, https://www.continental-automotive.com/en-gl/Passenger-Cars/Chassis-Safety/Advanced-Driver-Assistance-Systems/Cameras/Multi-Function-Camera-with-Lidar, 2017, 2 pages. |
Campbell et al., “Advanced sine wave modulation of continuous wave laser system for atmospheric CO2 differential absorption measurements,” NASA Langley Research Center; 32 pages. |
Church et al., “Evaluation of a steerable 3D laser scanner using a double Risley prism pair,” SPIE Paper, 9 pages. |
Hewlett-Packard Application Note 77-4, “Swept-Frequency Group Delay Measurements,” Hewlett-Packard Co., Sep. 1968, 7 pages. |
Journet & Bazin, “A Low-Cost Laser Range Finder Based on an FMCW-Like Method,” IEEE Transactions on Instrumentation and Measurement, vol. 49, No. 4, Aug. 2000, 4 pages. |
Kahn, “Modulation and Detection Techniques for Optical Communication Systems,” OSA/COTA, 2006, 3 pages. |
Kasturi et al., “UAV-Borne LiDAR with MEMS Mirror Based Scanning Capability,” SPIE Defense and Commercial Sensing Conference, Apr. 2016, 10 pages. |
Kravitz et al., “High-Resolution Low-Sidelobe Laser Ranging Based on Incoherent Pulse Compression,” IEEE Photonics Technology Letters, vol. 24, No. 23, Dec. 2012, 3 pages. |
Levanon et al., “Non-coherent pulse compression—aperiodic and periodic waveforms,” IET Radar Sonar Navig., Jun. 2015, 9 pages. |
Li et al., “Investigation of beam steering performances in rotation Risley-prism scanner,” OSA, Jun. 2016, 11 pages. |
Li, “Time-of-Flight Camera—An Introduction,” Technical White Paper, SLOA190B, May 2014, 10 pages. |
Luhmann, “A historical review on panorama photogrammetry,” University of Applied Sciences, Jul. 2008, 9 pages. |
Niclass et al., “Development of Automotive LIDAR,” Electronics and Communications in Japan, vol. 98, No. 5, 2015, pp. 1-6. |
Peer & Levanon, “Compression Waveforms for Non-Coherent Radar,” Compression Waveforms for Non-Coherent Radar, Tel Aviv University; 6 pages. |
Pierrottet et al., “Linear FMCW Laser Radar for Precision Range and Vector Velocity Measurements,” Coherent Applications Inc. & NASA Langley Research Center, 9 pages. |
Simpson et al., “Intensity-modulated, stepped frequency cw lidar for distributed aerosol an dhard target measurements,” Applied Optics, vol. 44, No. 33, Nov. 2005, 8 pages. |
Skolnik, “Introduction to Radar Systems,” McGraw-Hill Higher Education, 2001, 6 pages. |
Su et al., “2-D FFT and Time-Frequency Analysis Techniques for Multi-Target Recognition of FMCW Radar Signal,” Proceedings of the Asia-Pacific Microwave Conference, 2011, 4 pages. |
THORLABS Application Note, Risley Prism Scanner; 33 pages. |
Wang et al., “Range-Doppler image processing in linear FMCW radar and FPGA based real-time implementation,” Journal of Communication and Computer, vol. 6, No. 4, Apr. 2009, 5 pages. |
Wien, “The Geometry of Airborne Laser Scanning in a Kinematical Framework,” Vienna University of Technology, Oct. 2016, 69 pages. |
Winkler, “Range Doppler Detection for automotive FMCW Radars,” Proceedings of the 4th European Radar Conference, Oct. 2007, 4 pages. |
Wojtkiewicz et al., “Two-dimensional signal processing in FMCW radars,” Instytut Podstaw Elektroniki, 6 pages. |
Invitation to Pay Additional Fees and, Where Applicable, Protest Fee issued in International Application No. PCT/US2018/052849 on Mar. 8, 2019. |
International Search Report and Written Opinion issued in International Application No. PCT/US2018/052849 on May 6, 2019. |
International Search Report and Written Opinion issued in International Application No. PCT/US2018/057676 on Jan. 23, 2019. |
International Search Report and Written Opinion issued in International Application No. PCT/US2019/046800 on Nov. 25, 2019. |
International Search Report and Written Opinion issued in International Application No. PCT/US2020/039760 on Sep. 18, 2020. |
International Search Report and Written Opinion issued in International Application No. PCT/US2020/064474 on Apr. 1, 2021. |
International Search Report and Written Opinion issued in International Application No. PCT/US2017/033263 on Aug. 29, 2017. |
International Search Report and Written Opinion issued in International Application No. PCT/US2017/033265 on Sep. 1, 2017. |
International Search Report and Written Opinion issued in International Application No. PCT/US2017/033271 on Sep. 1, 2017. |
International Search Report and Written Opinion issued in International Application No. PCT/US2018/048869 on Nov. 8, 2018. |
International Search Report and Written Opinion issued in International Application No. PCT/US2018/049038 on Dec. 12, 2018. |
International Search Report and Written Opinion issued in International Application No. PCT/US2018/051281 on Nov. 22, 2018. |
International Search Report and Written Opinion issued in International Application No. PCT/US2018/052837 on Jan. 24, 2019. |
International Search Report and Written Opinion issued in International Application No. PCT/US2018/054992 on Dec. 11, 2018. |
International Search Report and Written Opinion issued in International Application No. PCT/US2018/057727 on Jan. 28, 2019. |
International Search Report and Written Opinion issued in International Application No. PCT/US2023/034129 on Jan. 3, 2024. |
International Search Report and Written Opinion issued in International Application No. PCT/US2023/034131 on Dec. 21, 2023. |
Number | Date | Country | |
---|---|---|---|
20240118425 A1 | Apr 2024 | US |