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公开(公告)号：US20200217960A1
公开(公告)日：2020-07-09
申请号：US16817989
申请日：2020-03-13
Applicant: Luminar Technologies, Inc.
Inventor： Richmond Hicks , Matthew D. Weed , Jason M. Eichenholz
Abstract: A machine vision system comprises a camera configured to generate one or more images of a field of regard of the camera, a lidar system, and a processor. The lidar system includes a laser configured to emit light, where the emitted light is directed toward a region within the field of regard of the camera and a receiver configured to detect light returned from the emitted light. The processor is configured to receive an indication of a location based on the returned light and determine, based on the one or more images generated by the camera, whether the indication of the location is associated with a spurious return.
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公开(公告)号：US20200296310A1
公开(公告)日：2020-09-17
申请号：US16353366
申请日：2019-03-14
Applicant: Luminar Technologies, Inc.
Inventor： Richmond Hicks
Abstract: The bit depth of the pixels in a camera image are reduced. In one embodiment, the number of pixels for each of a set of multiple bit intensity values is counted. A pixel intensity value with a lowest count is selected and a mapping function is generated that combines the pixels with the lowest count with pixels having an adjacent pixel intensity value. This is repeated until a total number of pixel intensity value counts is reduced to a predetermined number. A reduced bit depth image is generated using the predetermined number of pixel intensity value counts by assigning a new pixel intensity value to each of the pixels using the mapping function and the reduced bit depth image is sent to an image analysis system.
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公开(公告)号：US20190387216A1
公开(公告)日：2019-12-19
申请号：US16007382
申请日：2018-06-13
Applicant: Luminar Technologies, Inc.
Inventor： Richmond Hicks
IPC: H04N13/275 , G06K9/00 , H04N13/271 , H04N13/254 , G06T17/05 , G01S17/42 , G01S17/02 , G01S7/484 , G01S7/48 , G01S17/10
Abstract: Post-processing in a lidar system may be guided by camera information as described herein. In one embodiment, a camera system has a camera to capture images of the scene. An image processor is configured to classify an object in the images from the camera. A lidar system generates a point cloud of the scene and a modeling processor is configured to correlate the classified object to a plurality of points of the point cloud and to model the plurality of points as the classified object over time in a 3D model of the scene.
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公开(公告)号：US20200018854A1
公开(公告)日：2020-01-16
申请号：US16031815
申请日：2018-07-10
Applicant: LUMINAR TECHNOLOGIES, INC.
Inventor： Richmond Hicks , Matthew D. Weed , Jason M. Eichenholz
Abstract: A machine vision system comprises a camera configured to generate one or more images of a field of regard of the camera, a lidar system, and a processor. The lidar system includes a laser configured to emit light, where the emitted light is directed toward a region within the field of regard of the camera and a receiver configured to detect light returned from the emitted light. The processor is configured to receive an indication of a location based on the returned light and determine whether a solid object is present at the location based on the one or more images.
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公开(公告)号：US10345447B1
公开(公告)日：2019-07-09
申请号：US16020481
申请日：2018-06-27
Applicant: Luminar Technologies, Inc.
Inventor： Richmond Hicks
Abstract: A dynamic vision sensor (DVS) camera is described that directs scanning of a lidar. In one example, a DVS has an array of pixels, wherein each DVS pixel comprises a photodetector, and is configured to detect temporal contrast and generate an event in response. A lidar system has a light source configured to emit light, a scanner configured to direct the emitted light along a scan pattern contained within a field of regard of the lidar system, and a receiver configured to detect at least a portion of the emitted light scattered by one or more remote targets in a scene. A processor is coupled to the lidar system and to the dynamic vision sensor and receives the events, identifies a region of interest in the field of regard that corresponds to DVS pixels that generated the events, and adjusts a scan parameter of the lidar system in the region of interest.
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Patent Agency Ranking
公开(公告)号：US10591601B2
公开(公告)日：2020-03-17
申请号：US16031815
申请日：2018-07-10
Applicant: Luminar Technologies, Inc.
Inventor： Richmond Hicks , Matthew D. Weed , Jason M. Eichenholz
Abstract: A machine vision system comprises a camera configured to generate one or more images of a field of regard of the camera, a lidar system, and a processor. The lidar system includes a laser configured to emit light, where the emitted light is directed toward a region within the field of regard of the camera and a receiver configured to detect light returned from the emitted light. The processor is configured to receive an indication of a location based on the returned light and determine whether a solid object is present at the location based on the one or more images.
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公开(公告)号：US10445599B1
公开(公告)日：2019-10-15
申请号：US16007430
申请日：2018-06-13
Applicant: Luminar Technologies, Inc.
Inventor： Richmond Hicks
Abstract: A thermal imager is used to confirm object classifications as described. In one example, a scene modeling system has a sensor system to generate an image of a scene. A thermal camera generates a thermal image of the scene within a field of regard, and a modeling processor coupled to the sensor system and to the thermal camera correlates a position of a selected object in the scene to the field of regard of the thermal camera and queries the thermal camera to confirm a classification of the selected object. The thermal camera is configured to receive the position of the selected object and to confirm the classification.
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公开(公告)号：US10812745B2
公开(公告)日：2020-10-20
申请号：US16353366
申请日：2019-03-14
Applicant: Luminar Technologies, Inc.
Inventor： Richmond Hicks
Abstract: The bit depth of the pixels in a camera image are reduced. In one embodiment, the number of pixels for each of a set of multiple bit intensity values is counted. A pixel intensity value with a lowest count is selected and a mapping function is generated that combines the pixels with the lowest count with pixels having an adjacent pixel intensity value. This is repeated until a total number of pixel intensity value counts is reduced to a predetermined number. A reduced bit depth image is generated using the predetermined number of pixel intensity value counts by assigning a new pixel intensity value to each of the pixels using the mapping function and the reduced bit depth image is sent to an image analysis system.
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公开(公告)号：US20190387185A1
公开(公告)日：2019-12-19
申请号：US16007557
申请日：2018-06-13
Applicant: Luminar Technologies, Inc.
Inventor： Richmond Hicks
Abstract: A thermal imager is described that includes enhanced processing. In one example the imager includes a thermal detector to generate a response to incident infrared light across a plurality of pixel locations and readout circuitry attached to the thermal detector configured to read the response of the detector at the plurality of pixel locations. An image processor attached to the readout circuitry is configured to generate a thermal image based on the detector response, to receive a query packet from an external processor with a position of a selected object in the thermal image and a classification of the selected object, and to generate a confirmation packet to the external processor to confirm the classification of the selected object in response thereto. An input/output interface couple to an external processor to receive the query packet from and send the confirmation packet to the external processor.
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公开(公告)号：US10491885B1
公开(公告)日：2019-11-26
申请号：US16007382
申请日：2018-06-13
Applicant: Luminar Technologies, Inc.
Inventor： Richmond Hicks
IPC: H04N13/275 , G01S17/02 , G06K9/00 , G06T17/05 , H04N13/271 , H04N13/254 , G01S7/484 , G01S7/48 , G01S17/10 , G01S17/42 , G01S17/93
Abstract: Post-processing in a lidar system may be guided by camera information as described herein. In one embodiment, a camera system has a camera to capture images of the scene. An image processor is configured to classify an object in the images from the camera. A lidar system generates a point cloud of the scene and a modeling processor is configured to correlate the classified object to a plurality of points of the point cloud and to model the plurality of points as the classified object over time in a 3D model of the scene.
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