U.S. patent application Ser. Nos. 14/920,246, 15/149,323, and 15/149,429 describe various configurations of distance sensors. Such distance sensors may be useful in a variety of applications, including security, gaming, control of unmanned vehicles, and other applications.
The distance sensors described in these applications include projection systems (e.g., comprising lasers, diffractive optical elements, and/or other cooperating components) which project beams of light in a wavelength that is substantially invisible to the human eye (e.g., infrared) into a field of view. The beams of light spread out to create a pattern (of dots, dashes, or other artifacts) that can be detected by an appropriate light receiving system (e.g., lens, image capturing device, and/or other components). When the pattern is incident upon an object in the field of view, the distance from the sensor to the object can be calculated based on the appearance of the pattern (e.g., the positional relationships of the dots, dashes, or other artifacts) in one or more images of the field of view, which may be captured by the sensor's light receiving system. The shape and dimensions of the object can also be determined.
For instance, the appearance of the pattern may change with the distance to the object. As an example, if the pattern comprises a pattern of dots, the dots may appear closer to each other when the object is closer to the sensor, and may appear further away from each other when the object is further away from the sensor.
An example method includes setting an exposure time of a camera of a distance sensor to a first value, instructing the camera to acquire a first image of an object in a field of view of the camera, where the first image is acquired while the exposure time is set to the first value, instructing a pattern projector of the distance sensor to project a pattern of light onto the object, setting the exposure time of the camera to a second value that is different than the first value, and instructing the camera to acquire a second image of the object, where the second image includes the pattern of light, and where the second image is acquired while the exposure time is set to the second value.
In another example, a non-transitory machine-readable storage medium is encoded with instructions executable by a processor. When executed, the instructions cause the processor to perform operations including setting an exposure time of a camera of a distance sensor to a first value, instructing the camera to acquire a first image of an object in a field of view of the camera, where the first image is acquired while the exposure time is set to the first value, instructing a pattern projector of the distance sensor to project a pattern of light onto the object, setting the exposure time of the camera to a second value that is different than the first value, and instructing the camera to acquire a second image of the object, where the second image includes the pattern of light, and where the second image is acquired while the exposure time is set to the second value.
In another example, a distance sensor includes a pattern projector configured to project a pattern of light onto an object, a camera, a controller configured to set an exposure time of the camera to a first value when the pattern projector is not projecting the pattern of light onto the object and to set the exposure time of the camera to a second value when the pattern projector is projecting the pattern of light onto the object, and a processor configured to calculate a distance from the distance sensor to the object based on a first image captured when the exposure time is set to the first value and a second image captured when the exposure time is set to the second value.
The present disclosure broadly describes an apparatus, method, and non-transitory computer-readable medium for adjusting the camera exposure of a distance sensor for three-dimensional depth sensing and two-dimensional image capture. As discussed above, distance sensors such as those described in U.S. patent application Ser. Nos. 14/920,246, 15/149,323, and 15/149,429 determine the distance to an object (and, potentially, the shape and dimensions of the object) by projecting beams of light that spread out to create a pattern (e.g., of dots, dashes, or other artifacts) in a field of view that includes the object. The beams of light may be projected from one or more laser light sources which emit light of a wavelength that is substantially invisible to the human eye, but which is visible to an appropriate detector (e.g., of the light receiving system). The three-dimensional distance to the object may then be calculated based on the appearance of the pattern to the detector.
In some cases, a two-dimensional image of the object may also be captured (e.g., by a camera of the light receiving system) and used to improve the three-dimensional distance measurement. For example, a reference mark may be affixed to the object. Then, when the available amount of three-dimensional information (e.g., number of dots of the pattern) is insufficient for making an accurate distance measurement, information from a two-dimensional image of the object (including the reference mark) may be used to supplement the three-dimensional information. It may also be possible to determine environmental characteristics such as external brightness, object reflectance, and the like from the two-dimensional image. This information may be used to adjust the projected beams (and, consequently, the projected pattern) to improve the three-dimensional distance measurement.
Various factors, however, make it difficult to acquire three-dimensional object data (e.g., including pattern data) and a two-dimensional object image in quick succession with the same camera. For instance, noise introduced by ambient light may make it difficult for the detector to clearly detect the pattern formed by the beams. One way to mitigate the effects of ambient light is to incorporate a narrow band-pass filter in the light receiving system of the sensor, e.g., where the filter allows only infrared light to pass. However, if the amount of ambient light is very great (such as might be the case outdoors), then the difference in brightness between the pattern and the ambient light may be very small. Moreover, if the exposure time of the light receiving system is not set appropriately, then the relationship between the exposure value and the sensor latitude may cause unwanted saturation. In either case, it may still be difficult for the detector to distinguish the pattern formed by the beams from the ambient light, even if a narrow band-pass filter is used. For example, when both the image of the pattern formed by the beams and the ambient light exceed the sensor latitude, saturation may occur. However, an image of the pattern may become clearer by reducing the exposure time so that the amount of light input to the light receiving system is within the range of the sensor's latitude.
Alternatively or in addition, when the amount of ambient light is great, the pattern may be easier for the detector to distinguish if the brightness of the beams that form the pattern is increased relative to the brightness of the ambient light. However, from a safety perspective, increasing the brightness of the beams may come with some risk, as exposure to the brighter beams may be harmful to the human eye. Thus, the emission time of the lasers may be shortened to minimize the risk, and the exposure time of the light receiving system may also be shortened to reduce ambient light.
Although increasing the brightness of the pattern and reducing the exposure time of the light receiving system may improve the detector's ability to acquire three-dimensional information, these modifications may also impair the camera's ability to capture a useful two-dimensional image. For instance, a two-dimensional image that is captured under a shortened exposure time is likely to be dark. Generally, a longer exposure time may be needed to capture a clearer two-dimensional image.
Thus, in summary, the optimal camera exposure time for detecting a three-dimensional projection pattern and the optimal camera exposure time for capturing a two-dimensional image may be very different. This makes it difficult to detect the three-dimensional projection pattern and to capture the two-dimensional image simultaneously, or within a relatively short period of time (e.g., less than one second), with the same camera.
Examples of the present disclosure provide a distance sensor that is capable of performing three-dimensional information acquisition (e.g., from a pattern of projected light) and two-dimensional image acquisition in quick succession, with a single camera. In one example, the light source used to provide illumination for the two-dimensional image acquisition has the same wavelength as the light source that is used to project the pattern for three-dimensional information acquisition. This eliminates the need for a band-pass filter in the light receiving system of the distance sensor.
In one example, the camera 102 may be a still or video camera. The camera 102 may be capable of capturing three-dimensional distance data. For instance, the camera 102 may include a detector that is capable of detecting a pattern of light that is projected onto the object 114, where the projected light is of a wavelength that is substantially invisible to the human eye (e.g., infrared). The camera 102 may also be capable of capturing two-dimensional red, green, blue (RGB) images of the object 114. Thus, in one example, the camera 102 may be a red, green, blue infrared (RGBIR) camera. In this case, infrared light emitted for three-dimensional distance sensing may be input only to the pixels of the camera 102 with the IR filter, while other wavelengths of light can be recognized as color images by the pixel(s) on the RGB filter. Thus, the detector of the camera can detect red, green, blue and infrared simultaneously, can detect only infrared, or can detect only red, green, and blue. Because the three-dimensional distance sensing depends on the intensity of the projected pattern of light, and the two-dimensional imaging depends on external brightness, the optimal exposure time for the IR and RGB portions of the camera 102 will be different. The camera 102 may have a fish-eye lens, and may be configured to capture image data of a field of view of up to 180 degrees.
The camera 102 may send captured image data to the processor 104. The processor 104 may be configured to process the captured image data (e.g., three-dimensional distance data and two-dimensional image data) in order to calculate the distance to the object 114. For instance, the distance may be calculated in accordance with the methods described in U.S. patent application Ser. Nos. 14/920,246, 15/149,323, and 15/149,429.
The controller 106 may be configured to control operation of the other components of the distance sensor, e.g., the operations of the camera 102, the processor 104, and the pattern projector 108. For instance, the controller 106 may control the exposure time of the camera 102 (e.g., the duration for which the camera's shutter is open), and the timing with which the camera 102 captures images (including images of the object 114). As discussed in further detail below, the controller 106 may set two separate exposure durations for the camera 102: a first exposure duration during which an image of the object 114 is captured at the same time that the pattern projector 108 projects a pattern onto the object 114 (e.g., for three-dimensional distance sensing), and a second exposure duration during which an image of the object 114 is captured at a time when the pattern projector 108 does not project a pattern onto the object 114 (e.g., for two-dimensional image acquisition). In one example, the controller 106 may alternate between the first exposure duration and the second exposure duration.
The controller 106 may also control the duration for which the pattern projector 108 projects the pattern of light onto the object 114, as well as the timing with which the pattern projector 108 projects the pattern of light onto the object 114. For instance, the controller 106 may control the duration of pulses emitted by a light source of the pattern projector 108, as discussed in further detail below.
The pattern projector 108 may comprise various optics configured to project the pattern of light onto the object 114. For instance, the pattern projector 108 may include a laser light source, such as a vertical cavity surface emitting laser (VCSEL) 110 and a diffractive optical element (DOE) 112. The VCSEL 110 may be configured to emit beams of laser light under the direction of the controller 106 (e.g., where the controller 106 controls the duration of the laser pulses). The DOE 112 may be configured to split the beam of light projected by the VCSEL 110 into a plurality of beams of light. The plurality of beams of light may fan or spread out, so that each beam creates a distinct point (e.g., dot, dash, x, or the like) of light in the camera's field of view. Collectively, the distinct points of light created by the plurality of beams form a pattern. The distance to the object 114 may be calculated based on the appearance of the pattern on the object 114.
The method 200 may begin in step 202. In step 204, the processing system may set the exposure time of a camera of a distance sensor to a first value. The first value may define a duration of the exposure (e.g., a first window of time for which the shutter of the camera is open to acquire image data).
In step 206, the processing system may instruct the camera to acquire a first image of an object in the distance sensor's field of view. In one example, the first image is a two dimensional image (which includes no data from projected patterns of light). In one example, the time of exposure for the acquisition of the first image is therefore equal to the first value.
In step 208, the processing system may instruct a pattern projector (e.g., a system of optics including a laser light source and diffractive optical element) of the distance sensor to project a pattern of light onto the object. In one example, the pattern of light may comprise light that is emitted in a wavelength that is substantially invisible to the human eye (e.g., infrared). In one example, the instructions sent to the pattern projector may include instructions regarding when to start projecting the pattern of light and for how long to project the pattern of light (e.g., the timing and duration of laser pulses).
In step 210, the processing system may set the exposure time of the camera to a second value. The second value may define a duration of the exposure (e.g., a second window of time for which the shutter of the camera is open to acquire image data). In one example, the second value is smaller than the first value.
In step 212, the processing system may instruct the camera to acquire a second image of the object, where the second image also includes the pattern of light projected onto the object by the pattern projector. In one example, the time of exposure for the acquisition of the second image is therefore equal to the second value.
In step 214 the processing system may instruct the pattern projector to stop projecting the pattern of light onto the object. For instance, the instructions sent to the pattern projector may instruct the pattern projector to turn off a laser.
In step 216, the processing system may determine whether to stop imaging the object. For instance, imaging of the object may stop if sufficient data (e.g., from the first and second images) has been acquired to calculate the distance to the object. If the processing system concludes in step 216 that imaging should not be stopped, then the method 200 may return to step 204 and proceed as described above to capture additional images of the object.
Alternatively, if the processing system concludes in step 216 that imaging should be stopped, then the method 200 may proceed to step 218. In step 218, the processing system may process the first and second images in order to determine the distance to the object. For instance, any of the methods described in in U.S. patent application Ser. Nos. 14/920,246, 15/149,323, and 15/149,429 may be used to calculate the distance. Alternatively, the processing system may send the first and second images to a remote processing system for the distance calculation.
The method 200 may end in step 220.
In particular,
In one example, a laser (or projection light source) pulse of a third, fixed duration p1 may be emitted every other frame. In one example the third duration p1 is greater than the first duration d1, but less than the second duration d2 (i.e., d1<p1<d2). In one example, the laser pulse is emitted at the same time as each camera exposure of the first duration d1 (e.g., every oddly numbered frame). Put another way, at the start of each oddly numbered frame, a laser pulse of duration p1 is emitted, and the camera shutter is opened for a window of duration d1. Thus, the laser pulse may be used to project a pattern from which the distance sensor may acquire information for three-dimensional distance measurement.
It can also be seen from
In one example, the camera 402 may be a still or video camera. The camera 402 may be capable of capturing three-dimensional distance data. For instance, the camera 402 may include a detector that is capable of detecting a pattern of light that is projected onto the object 414, where the projected light is of a wavelength that is substantially invisible to the human eye (e.g., infrared). The camera 402 may also be capable of capturing two-dimensional red, green, blue (RGB) images of the object 414. Thus, in one example, the camera 402 may be a red, green, blue infrared (RGBIR) camera. In this case, infrared light emitted for three-dimensional distance sensing may be input only to the pixel of the camera 402 with the IR filter, while other wavelengths of light can be recognized as color images by the pixel(s) on the RGB filter. Because the three-dimensional distance sensing depends on the intensity of the projected pattern of light, and the two-dimensional imaging depends on external brightness, the optimal exposure time for the IR and RGB portions of the camera 102 will be different. The camera 402 may have a fish-eye lens, and may be configured to capture image data of a field of view of up to 180 degrees.
The camera 402 may send captured image data to the processor 404. The processor 404 may be configured to process the captured image data (e.g., three-dimensional distance data and two-dimensional image data) in order to calculate the distance to the object 414. For instance, the distance may be calculated in accordance with the methods described in U.S. patent application Ser. Nos. 14/920,246, 15/149,323, and 15/149,429.
The controller 406 may be configured to control operation of the other components of the distance sensor, e.g., the operations of the camera 402, the processor 404, the pattern projector 408, and the LED 416. For instance, the controller 406 may control the exposure time of the camera 402 (e.g., the duration for which the camera's shutter is open), and the timing with which the camera 402 captures images (including images of the object 414). As discussed in further detail below, the controller 406 may set two separate exposure durations for the camera 402: a first exposure duration during which an image of the object 414 is captured at the same time that the pattern projector 408 projects a pattern onto the object 414 (e.g., for three-dimensional distance sensing), and a second exposure duration during which an image of the object 414 is captured at a time when the pattern projector 408 does not project a pattern onto the object 414, but at which the LED 416 is illuminating the object 414 (e.g., for two-dimensional image acquisition). In one example, the controller 406 may alternate between the first exposure duration and the second exposure duration.
The controller 406 may also control the duration for which the pattern projector 408 projects the pattern of light onto the object 414, as well as the timing with which the pattern projector 408 projects the pattern of light onto the object 414. For instance, the controller 406 may control the duration of pulses emitted by a light source of the pattern projector 408, as discussed in further detail below.
The controller 406 may also control the duration for which the LED 416 illuminates the object 414, as well as the timing with which the LED 416 illuminates the object 414. For instance, the controller 406 may control the duration of pulses emitted by the LED 416, as discussed in further detail below.
The pattern projector 408 may comprise various optics configured to project the pattern of light onto the object 414. For instance, the pattern projector 408 may include a laser light source, such as a vertical cavity surface emitting laser (VCSEL) 410 and a diffractive optical element (DOE) 412. The VCSEL 410 may be configured to emit beams of laser light under the direction of the controller 406 (e.g., where the controller 406 controls the duration of the laser pulses). The DOE 412 may be configured to split the beam of light projected by the VCSEL 410 into a plurality of beams of light. The plurality of beams of light may fan or spread out, so that each beam creates a distinct point (e.g., dot, dash, x, or the like) of light in the camera's field of view. Collectively, the distinct points of light created by the plurality of beams form a pattern. The distance to the object 414 may be calculated based on the appearance of the pattern on the object 414.
The LED 416 may comprise one or more light emitting diodes, or other light sources, capable of emitting light in a wavelength that is visible to the human eye (e.g., white) under the direction of the controller 406 (e.g., where the controller 406 controls the duration of the LED pulses). Alternatively, the emitted wavelength of the LED 416 may be the same as the wavelength of the VCSEL 410. The illumination provided by the LED 416 may be used to acquire a two-dimensional image of the object 414, as discussed in further detail below.
The method 500 may begin in step 502. In step 504, the processing system may set the exposure time of a camera of a distance sensor to a first value. The first value may define a duration of the exposure (e.g., a first window of time for which the shutter of the camera is open to acquire image data).
In step 506, the processing system may instruct an illumination source (e.g., an LED) of the distance sensor to illuminate an object in the distance sensor's field of view. In one example, the light emitted to illuminate the object may comprise light in a wavelength that is visible to the human eye. Alternatively, the emitted wavelength of the illumination source may be the same as the wavelength of the distance sensor's pattern projector. In one example, the instructions sent to the illumination source may include instructions regarding when to start emitting the light and for how long emit the light (e.g., the timing and duration of LED pulses).
In step 508, the processing system may instruct the camera to acquire a first image of the object. In one example, the first image is a two dimensional image (which includes no data from projected patterns of light). In one example, the time of exposure for the acquisition of the first image is therefore equal to the first value.
In step 510, the processing system may instruct the illumination source to stop illuminating the object. For instance, the instructions sent to the illumination source may instruct the pattern projector to turn off an LED.
In step 512, the processing system may instruct a pattern projector (e.g., a system of optics including a laser light source and diffractive optical element) of the distance sensor to project a pattern of light onto the object. In one example, the pattern of light may comprise light that is emitted in a wavelength that is substantially invisible to the human eye (e.g., infrared). In one example, the instructions sent to the pattern projector may include instructions regarding when to start projecting the pattern of light and for how long to project the pattern of light (e.g., the timing and duration of laser pulses).
In step 514, the processing system may set the exposure time of the camera to a second value. The second value may define a duration of the exposure (e.g., a second window of time for which the shutter of the camera is open to acquire image data). In one example, the second value is smaller than the first value.
In step 516, the processing system may instruct the camera to acquire a second image of the object, where the second image also includes the pattern of light projected onto the object by the pattern projector. In one example, the time of exposure for the acquisition of the second image is therefore equal to the second value.
In step 518 the processing system may instruct the pattern projector to stop projecting the pattern of light onto the object. For instance, the instructions sent to the pattern projector may instruct the pattern projector to turn off a laser.
In step 520, the processing system may determine whether to stop imaging the object. For instance, imaging of the object may stop if sufficient data (e.g., from the first and second images) has been acquired to calculate the distance to the object. If the processing system concludes in step 520 that imaging should not be stopped, then the method 500 may return to step 504 and proceed as described above to capture additional images of the object.
Alternatively, if the processing system concludes in step 520 that imaging should be stopped, then the method 500 may proceed to step 522. In step 522, the processing system may process the first and second images in order to determine the distance to the object. For instance, any of the methods described in in U.S. patent application Ser. Nos. 14/920,246, 15/149,323, and 15/149,429 may be used to calculate the distance. Alternatively, the processing system may send the first and second images to a remote processing system for the distance calculation.
The method 500 may end in step 524.
In particular,
As in the example of
It can also be seen from
In one example, a light emitting diode (LED) (or illumination light source) pulse of a fourth, fixed duration p2 may also be emitted, alternately with the laser pulses of the third duration p1. In one example the fourth duration p2 is the greatest of the first duration d1, the second duration d2, and the third duration p1 (i.e., d1<p1<d2<p2). In one example, the LED pulses overlap frames; that is, the LED pulses may begin at the end of (e.g., more than halfway through) one frame and may end near the middle of the subsequent frame. For instance, referring to
It can also be seen from
In another example, steps 508 and 516 of
For instance,
In particular,
As in the example of
It can also be seen from
In one example, a light emitting diode (LED) (or illumination light source) pulse of a fifth, fixed duration p3 may also be emitted at the start of each set of n frames in which a two-dimensional image is acquired. In one example the fifth duration p2 is the greatest of the first duration d1, the second duration d2, the third duration p1, and the fourth duration p2 (i.e., d1<p1<d2<p2<p3). In one example, the LED pulses overlap frames; that is, the LED pulses may begin at the end of (e.g., more than halfway through) one frame and may end near the middle of a frame n frames later. For instance, referring to
It can also be seen from
In one example, the camera 802 may be a still or video camera. The camera 802 may be capable of capturing three-dimensional distance data. For instance, the camera 802 may include a detector that is capable of detecting a pattern of light that is projected onto the object 814, where the projected light is of a wavelength that is substantially invisible to the human eye (e.g., infrared). The camera 802 may also be capable of capturing two-dimensional red, green, blue (RGB) images of the object 814. Thus, in one example, the camera 802 may be a red, green, blue infrared (RGBIR) camera. In this case, infrared light emitted for three-dimensional distance sensing may be input only to the pixel of the camera 802 with the IR filter, while other wavelengths of light can be recognized as color images by the pixel(s) on the RGB filter. Because the three-dimensional distance sensing depends on the intensity of the projected pattern of light, and the two-dimensional imaging depends on external brightness, the optimal exposure time for the IR and RGB portions of the camera 102 will be different. The camera 802 may have a fish-eye lens, and may be configured to capture image data of a field of view of up to 180 degrees.
The camera 802 may send captured image data to the processor 804. The processor 804 may be configured to process the captured image data (e.g., three-dimensional distance data and two-dimensional image data) in order to calculate the distance to the object 814. For instance, the distance may be calculated in accordance with the methods described in U.S. patent application Ser. Nos. 14/920,246, 15/149,323, and 15/149,429.
The controller 806 may be configured to control operation of the other components of the distance sensor, e.g., the operations of the camera 802, the processor 804, the pattern projectors 808, and the LED 816. For instance, the controller 806 may control the exposure time of the camera 802 (e.g., the duration for which the camera's shutter is open), and the timing with which the camera 802 captures images (including images of the object 814). As discussed in further detail below, the controller 806 may set two separate exposure durations for the camera 802: a first exposure duration during which an image of the object 814 is captured at the same time that at least one of the pattern projectors 808 projects a pattern onto the object 814 (e.g., for three-dimensional distance sensing), and a second exposure duration during which an image of the object 814 is captured at a time when the pattern projectors 808 do not project a pattern onto the object 814, but at which the LED 816 is illuminating the object 814 (e.g., for two-dimensional image acquisition). In one example, the controller 806 may alternate between the first exposure duration and the second exposure duration.
The controller 806 may also control the duration for which the pattern projectors 808 project the pattern of light onto the object 814, as well as the timing with which the pattern projectors 808 project the pattern of light onto the object 814. For instance, the controller 806 may control the duration of pulses emitted by a light source of the pattern projectors 808, as discussed in further detail below. In one particular example, the controller 806 may control the pattern projectors 808 to project the pattern of light into separate portions of the camera's field of view at separate times.
The controller 806 may also control the duration for which the LED 816 illuminates the object 814, as well as the timing with which the LED 816 illuminates the object 814. For instance, the controller 806 may control the duration of pulses emitted by the LED 816, as discussed in further detail below.
The pattern projectors 808 may comprise various optics configured to project the pattern of light onto the object 814. For instance, each pattern projector 808 may include a respective laser light source, such as a respective vertical cavity surface emitting laser (VCSEL) 8101 or 8102 (hereinafter also referred to individually as a “VCSEL 810” or collectively as “VCSELs 810”) and a respective diffractive optical element (DOE) 8121 or 8122 (hereinafter referred to individually as a “DOE 812” or collectively as “DOEs 812”). The VCSELs 810 may be configured to emit beams of laser light under the direction of the controller 806 (e.g., where the controller 806 controls the duration of the laser pulses). The DOEs 812 may be configured to split the beams of light projected by the respective VCSELs 810 into respective pluralities of beams of light. The pluralities of beams of light may fan or spread out, so that each beam creates a distinct point (e.g., dot, dash, x, or the like) of light in the camera's field of view. Collectively, the distinct points of light created by the pluralities of beams form respective patterns. The distance to the object 814 may be calculated based on the appearance of the patterns on the object 814.
The LED 816 may comprise one or more light emitting diodes, or other light sources, capable of emitting light in a wavelength that is visible to the human eye (e.g., white) under the direction of the controller 806 (e.g., where the controller 806 controls the duration of the LED pulses). Alternatively, the emitted wavelength of the LED 816 may be the same as the wavelength of the VCSEL 810. The illumination provided by the LED 816 may be used to acquire a two-dimensional image of the object 814, as discussed in further detail below.
In particular,
As illustrated in
Similarly, a second laser (or projection light source) pulse of the third, fixed duration p1 may also be emitted every three frames. In one example, the second laser pulse is emitted at the beginning of every third frame, but one frame after each first laser pulse. Put another way, at the start of every frame after a frame in which the first laser pulse occurs, a second laser pulse of duration p1 is emitted, and the camera shutter is opened for a window of duration d1. Thus, the second laser pulse may be used to project a pattern from which the distance sensor may acquire information for three-dimensional distance measurement.
It can also be seen from
In one example, a light emitting diode (LED) (or illumination light source) pulse of a fourth, fixed duration p2 may also be emitted, after each second laser pulse of the third duration p1. In one example the fourth duration p2 is the greatest of the first duration d1 and the third duration p1 (i.e., d1<p1<p2). In one example, the LED pulses overlap frames; that is, the LED pulses may begin at the end of (e.g., more than halfway through) one frame and may end near the middle of the subsequent frame. For instance, referring to
It can also be seen from
The method 1000 may begin in step 1002. In step 1004, the processing system may set the exposure time of a camera of a distance sensor to a first value. The first value may define a duration of the exposure (e.g., a first window of time for which the shutter of the camera is open to acquire image data).
In step 1006, the processing system may instruct an illumination source (e.g., an LED) of the distance sensor to illuminate an object in the distance sensor's field of view. In one example, the light emitted to illuminate the object may comprise light in a wavelength that is visible to the human eye (e.g., white). In one example, the instructions sent to the illumination source may include instructions regarding when to start emitting the light and for how long emit the light (e.g., the timing and duration of LED pulses).
In step 1008, the processing system may instruct the camera to acquire a first image of the object. In one example, the first image is a two dimensional image (which includes no data from projected patterns of light). In one example, the time of exposure for the acquisition of the first image is therefore equal to the first value.
In step 1010, the processing system may instruct the illumination source to stop illuminating the object. For instance, the instructions sent to the illumination source may instruct the pattern projector to turn off an LED.
In step 1012, the processing system may determine a second value for the exposure time of the camera and a projection time of a pattern projector of the distance sensor (e.g., a system of optics including a laser light source and diffractive optical element), based on an analysis of the first image of the object.
In step 1014, the processing system may instruct the pattern projector of the distance sensor to project a pattern of light onto the object. In one example, the pattern of light may comprise light that is emitted in a wavelength that is substantially invisible to the human eye (e.g., infrared). In one example, the instructions sent to the pattern projector may include instructions regarding when to start projecting the pattern of light and for how long to project the pattern of light (e.g., the timing and duration of laser pulses).
In step 1016, the processing system may set the exposure time of the camera to the second value. The second value may define a duration of the exposure (e.g., a second window of time for which the shutter of the camera is open to acquire image data). In one example, the second value is smaller than the first value.
In step 1018, the processing system may instruct the camera to acquire a second image of the object, where the second image also includes the pattern of light projected onto the object by the pattern projector. In one example, the time of exposure for the acquisition of the second image is therefore equal to the second value.
In step 1020 the processing system may instruct the pattern projector to stop projecting the pattern of light onto the object. For instance, the instructions sent to the pattern projector may instruct the pattern projector to turn off a laser.
In step 1022, the processing system may determine whether to stop imaging the object. For instance, imaging of the object may stop if sufficient data (e.g., from the first and second images) has been acquired to calculate the distance to the object. If the processing system concludes in step 1022 that imaging should not be stopped, then the method 1000 may return to step 1004 and proceed as described above to capture additional images of the object.
Alternatively, if the processing system concludes in step 1022 that imaging should be stopped, then the method 1000 may proceed to step 1024. In step 1024, the processing system may process the first and second images in order to determine the distance to the object. For instance, any of the methods described in in U.S. patent application Ser. Nos. 14/920,246, 15/149,323, and 15/149,429 may be used to calculate the distance. Alternatively, the processing system may send the first and second images to a remote processing system for the distance calculation.
The method 1000 may end in step 1026.
It should be noted that although not explicitly specified, some of the blocks, functions, or operations of the methods 200, 500, and 1000 described above may include storing, displaying and/or outputting for a particular application. In other words, any data, records, fields, and/or intermediate results discussed in the methods 200, 500, and 1000 can be stored, displayed, and/or outputted to another device depending on the particular application. Furthermore, blocks, functions, or operations in
As depicted in
Although one processor element is shown, it should be noted that the electronic device 1200 may employ a plurality of processor elements. Furthermore, although one electronic device 1200 is shown in the figure, if the method(s) as discussed above is implemented in a distributed or parallel manner for a particular illustrative example, i.e., the blocks of the above method(s) or the entire method(s) are implemented across multiple or parallel electronic devices, then the electronic device 1200 of this figure is intended to represent each of those multiple electronic devices.
It should be noted that the present disclosure can be implemented by machine readable instructions and/or in a combination of machine readable instructions and hardware, e.g., using application specific integrated circuits (ASIC), a programmable logic array (PLA), including a field-programmable gate array (FPGA), or a state machine deployed on a hardware device, a general purpose computer or any other hardware equivalents, e.g., computer readable instructions pertaining to the method(s) discussed above can be used to configure a hardware processor to perform the blocks, functions and/or operations of the above disclosed method(s).
In one example, instructions and data for the present module or process 1205 for calculating the distance from a sensor to an object, e.g., machine readable instructions can be loaded into memory 1204 and executed by hardware processor element 1202 to implement the blocks, functions or operations as discussed above in connection with the methods 200, 500, and 1000. Furthermore, when a hardware processor executes instructions to perform “operations”, this could include the hardware processor performing the operations directly and/or facilitating, directing, or cooperating with another hardware device or component, e.g., a co-processor and the like, to perform the operations.
The processor executing the machine readable instructions relating to the above described method(s) can be perceived as a programmed processor or a specialized processor. As such, the present module 1205 for calculating the distance from a sensor to an object of the present disclosure can be stored on a tangible or physical (broadly non-transitory) computer-readable storage device or medium, e.g., volatile memory, non-volatile memory, ROM memory, RAM memory, magnetic or optical drive, device or diskette and the like. More specifically, the computer-readable storage device may comprise any physical devices that provide the ability to store information such as data and/or instructions to be accessed by a processor or an electronic device such as a computer or a controller of a safety sensor system.
It will be appreciated that variants of the above-disclosed and other features and functions, or alternatives thereof, may be combined into many other different systems or applications. Various presently unforeseen or unanticipated alternatives, modifications, or variations therein may be subsequently made which are also intended to be encompassed by the following claims.
This application is a continuation of U.S. patent application Ser. No. 16/353,859, filed Mar. 14, 2019, which in turn claims the priority of U.S. Provisional Patent Application Ser. No. 62/645,190, filed Mar. 20, 2018. Both of these applications are herein incorporated by reference in their entireties.
Number | Name | Date | Kind |
---|---|---|---|
4914460 | Caimi et al. | Apr 1990 | A |
5699444 | Palm | Dec 1997 | A |
5730702 | Tanaka et al. | Mar 1998 | A |
5870136 | Fuchs et al. | Feb 1999 | A |
5980454 | Broome | Nov 1999 | A |
6038415 | Nishi et al. | Mar 2000 | A |
6442476 | Poropat | Aug 2002 | B1 |
6668082 | Davison et al. | Dec 2003 | B1 |
6937350 | Shirley | Aug 2005 | B2 |
7191056 | Costello et al. | Mar 2007 | B2 |
7193645 | Aagaard et al. | Mar 2007 | B1 |
7375803 | Bamji | May 2008 | B1 |
7589825 | Orchard et al. | Sep 2009 | B2 |
9098909 | Nomura | Aug 2015 | B2 |
9488757 | Mukawa | Nov 2016 | B2 |
9536339 | Worley et al. | Jan 2017 | B1 |
9686539 | Zuliani et al. | Jun 2017 | B1 |
9888225 | Znamensky et al. | Feb 2018 | B2 |
9986208 | Chao et al. | May 2018 | B2 |
20030071891 | Geng | Apr 2003 | A1 |
20040167744 | Lin et al. | Aug 2004 | A1 |
20060044546 | Lewin et al. | Mar 2006 | A1 |
20060055942 | Krattiger | Mar 2006 | A1 |
20060290781 | Hama | Dec 2006 | A1 |
20070085849 | Kosolapov | Apr 2007 | A1 |
20070091174 | Kochi et al. | Apr 2007 | A1 |
20070165243 | Kang et al. | Jul 2007 | A1 |
20070206099 | Matsuo | Sep 2007 | A1 |
20100007719 | Frey et al. | Jan 2010 | A1 |
20100149315 | Qu et al. | Jun 2010 | A1 |
20100223706 | Becker et al. | Sep 2010 | A1 |
20100238416 | Kuwata | Sep 2010 | A1 |
20110037849 | Niclass et al. | Feb 2011 | A1 |
20110188054 | Petronius et al. | Aug 2011 | A1 |
20120051588 | Mceldowney | Mar 2012 | A1 |
20120056982 | Katz | Mar 2012 | A1 |
20120062758 | Devine et al. | Mar 2012 | A1 |
20120113252 | Yang et al. | May 2012 | A1 |
20120219699 | Pettersson | Aug 2012 | A1 |
20120225718 | Zhang | Sep 2012 | A1 |
20120236288 | Stanley | Sep 2012 | A1 |
20120236317 | Nomura | Sep 2012 | A1 |
20130076865 | Tateno et al. | Mar 2013 | A1 |
20130088575 | Park et al. | Apr 2013 | A1 |
20130155417 | Ohsawa | Jun 2013 | A1 |
20130242090 | Yoshikawa | Sep 2013 | A1 |
20130307933 | Znamensky et al. | Nov 2013 | A1 |
20130314688 | Likholyot | Nov 2013 | A1 |
20140000520 | Bareket | Jan 2014 | A1 |
20140009571 | Geng | Jan 2014 | A1 |
20140016113 | Holt et al. | Jan 2014 | A1 |
20140036096 | Sterngren | Feb 2014 | A1 |
20140071239 | Yokota | Mar 2014 | A1 |
20140085429 | Hébert | Mar 2014 | A1 |
20140125813 | Holz | May 2014 | A1 |
20140207326 | Murphy | Jul 2014 | A1 |
20140241614 | Lee | Aug 2014 | A1 |
20140275986 | Vertikov | Sep 2014 | A1 |
20140293265 | Stettner | Oct 2014 | A1 |
20140320605 | Johnson | Oct 2014 | A1 |
20150009301 | Ribnick et al. | Jan 2015 | A1 |
20150012244 | Oki | Jan 2015 | A1 |
20150062558 | Koppal et al. | Mar 2015 | A1 |
20150077764 | Braker et al. | Mar 2015 | A1 |
20150131054 | Wuellner et al. | May 2015 | A1 |
20150016003 | Terry et al. | Jun 2015 | A1 |
20150171236 | Murray | Jun 2015 | A1 |
20150248796 | Iyer et al. | Sep 2015 | A1 |
20150268399 | Futterer | Sep 2015 | A1 |
20150288956 | Mallet et al. | Oct 2015 | A1 |
20150323321 | Oumi | Nov 2015 | A1 |
20150336013 | Stenzier et al. | Nov 2015 | A1 |
20150381907 | Boetliger et al. | Dec 2015 | A1 |
20160022374 | Haider | Jan 2016 | A1 |
20160041266 | Smits | Feb 2016 | A1 |
20160117561 | Miyazawa et al. | Apr 2016 | A1 |
20160128553 | Geng | May 2016 | A1 |
20160157725 | Munoz | Jun 2016 | A1 |
20160163031 | Gordon et al. | Jun 2016 | A1 |
20160178915 | Mor et al. | Jun 2016 | A1 |
20160249810 | Darty et al. | Sep 2016 | A1 |
20160261854 | Ryu et al. | Sep 2016 | A1 |
20160267682 | Yamashita | Sep 2016 | A1 |
20160288330 | Konolige | Oct 2016 | A1 |
20160327385 | Kimura | Nov 2016 | A1 |
20160328854 | Kimura | Nov 2016 | A1 |
20160334939 | Dawson et al. | Nov 2016 | A1 |
20160350594 | McDonald | Dec 2016 | A1 |
20160379368 | Sakas et al. | Dec 2016 | A1 |
20170098305 | Gossow | Apr 2017 | A1 |
20170102461 | Tezuka et al. | Apr 2017 | A1 |
20170221226 | Shen et al. | Aug 2017 | A1 |
20170270689 | Messely et al. | Sep 2017 | A1 |
20170284799 | Wexler et al. | Oct 2017 | A1 |
20170307544 | Nagata | Oct 2017 | A1 |
20170347086 | Watanabe | Nov 2017 | A1 |
20170365102 | Huston | Dec 2017 | A1 |
20180010903 | Takao et al. | Jan 2018 | A1 |
20180011194 | Masuda et al. | Jan 2018 | A1 |
20180067046 | Imagawa | Mar 2018 | A1 |
20180073863 | Watanabe | Mar 2018 | A1 |
20180080761 | Takao et al. | Mar 2018 | A1 |
20180143018 | Kimura | May 2018 | A1 |
20180156609 | Kimura | Jun 2018 | A1 |
20180227566 | Price et al. | Aug 2018 | A1 |
20180249142 | Hicks et al. | Aug 2018 | A1 |
20180324405 | Thirion | Nov 2018 | A1 |
20180329038 | Lin et al. | Nov 2018 | A1 |
20180357871 | Siminoff | Dec 2018 | A1 |
20190064359 | Yang | Feb 2019 | A1 |
20190107387 | Kimura | Apr 2019 | A1 |
20190108743 | Kimura | Apr 2019 | A1 |
20190122057 | Kimura | Apr 2019 | A1 |
20190295270 | Kimura | Sep 2019 | A1 |
20190297241 | Kimura | Sep 2019 | A1 |
20190377088 | Kimura | Dec 2019 | A1 |
20200003556 | Kimura | Jan 2020 | A1 |
20200051268 | Kimura | Feb 2020 | A1 |
20200182974 | Kimura | Jun 2020 | A1 |
20200236315 | Kimura | Jul 2020 | A1 |
Number | Date | Country |
---|---|---|
101794065 | Aug 2010 | CN |
103196385 | Jul 2013 | CN |
103559735 | Feb 2014 | CN |
104160243 | Nov 2014 | CN |
104515514 | Apr 2015 | CN |
0358628 | Mar 1990 | EP |
2869023 | May 2015 | EP |
3012579 | Apr 2016 | EP |
3258210 | Dec 2017 | EP |
H4-51112 | Feb 1992 | JP |
H9-61126 | Mar 1997 | JP |
4485365 | Feb 2006 | JP |
2006-313116 | Nov 2006 | JP |
2007-10346 | Jan 2007 | JP |
2007-187581 | Jul 2007 | JP |
2007-315864 | Dec 2007 | JP |
2010-091855 | Apr 2010 | JP |
2010-101683 | May 2010 | JP |
2010-256182 | Nov 2010 | JP |
2012-047500 | Mar 2012 | JP |
2014-020978 | Feb 2014 | JP |
2014-511590 | May 2014 | JP |
2014-122789 | Jul 2014 | JP |
6038415 | Dec 2016 | JP |
6241793 | Dec 2017 | JP |
10-2013-0000356 | Jan 2013 | KR |
10-2013-0037152 | Apr 2013 | KR |
10-2015-0101749 | Sep 2015 | KR |
10-2016-0020323 | Feb 2016 | KR |
10-2017-0005649 | Jan 2017 | KR |
10-2017-0054221 | May 2017 | KR |
10-2017-0094968 | Aug 2017 | KR |
I320480 | Feb 2010 | TW |
I451129 | Apr 2012 | TW |
WO 2012081506 | Jun 2012 | WO |
WO 20130145164 | Oct 2013 | WO |
WO 20140106843 | Jul 2014 | WO |
WO 2014131064 | Aug 2014 | WO |
WO 2015166915 | Nov 2015 | WO |
Entry |
---|
The Extended European Search Report mailed in corresponding application No. 19770406.7 dated Nov. 4, 2021, 7 pages. |
Number | Date | Country | |
---|---|---|---|
20210152723 A1 | May 2021 | US |
Number | Date | Country | |
---|---|---|---|
62645190 | Mar 2018 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 16353859 | Mar 2019 | US |
Child | 17158131 | US |