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公开(公告)号:US10677900B2
公开(公告)日:2020-06-09
申请号:US16196632
申请日:2018-11-20
Applicant: LUMINAR TECHNOLOGIES, INC.
Inventor: Austin K. Russell , Eric C. Danziger
IPC: G06T5/00 , G01S7/497 , G01S17/42 , G05D1/02 , G01S17/89 , G01S17/87 , G01S7/481 , G06N20/00 , G01S17/06 , G01S17/58 , G01S17/86 , G01S17/931 , G06T7/246 , G06T7/73 , B60W30/095 , G06K9/00 , G06T7/521 , G01S7/48 , G01S17/08 , H04N5/232 , G06K9/62 , G06T3/60 , G06T7/20 , G06T7/00 , G05D1/00
Abstract: A computer-implemented method of detecting object distortion. The method includes receiving sensor data generated by one or more sensors of the vehicle. The one or more sensors are configured to sense an environment through which the vehicle is moving by following a scan pattern. The method also includes obtaining, based on the sensor data, a point cloud frame representative of the environment and identifying a point cloud object within the point cloud frame. Additionally, the method includes analyzing the point cloud object to identify a feature of the point cloud object that has an expected shape and comparing the feature of the point cloud object to the expected shape. The method also includes identifying that the point cloud object is distorted based on the feature of the point cloud object not matching the expected shape.
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公开(公告)号:US10663595B2
公开(公告)日:2020-05-26
申请号:US15822679
申请日:2017-11-27
Applicant: LUMINAR TECHNOLOGIES, INC.
Inventor: George C. Curatu
IPC: G01S17/931 , G05D1/00 , G01S17/89 , G01S13/931 , G01S7/481 , G01S17/42 , G01S7/4861 , G01S17/87 , G01S17/10
Abstract: To generate an image that captures a 360-degree horizontal view around a vehicle in a lidar system, four or more lidar sensors may be placed at the four corners of the vehicle. Each lidar sensor is phased 90 degrees apart and synchronously scans a respective 90-degree field of regard. The 90 degree fields of regard from each of the four or more lidar sensors may combine to scan a complete 360-degree field of regard around the vehicle.
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公开(公告)号:US10663564B2
公开(公告)日:2020-05-26
申请号:US15983545
申请日:2018-05-18
Applicant: LUMINAR TECHNOLOGIES, INC.
Inventor: Joseph G. LaChapelle
IPC: G01S7/48 , G01S7/484 , G01S7/481 , G05D1/00 , G01S7/4865 , G05D1/02 , G01S17/931
Abstract: A lidar system includes a lighting module configured to (i) select a wavelength from among a plurality of wavelength values, for a particular time period, and (ii) emit light at the selected wavelength. The lighting module emits light at different wavelengths during at least two adjacent periods of time. The lidar system further includes a scanner configured to direct the pulse of light to illuminate a respective region within a field of regard of the lidar system and a receiver module configured to (i) receive a light signal and (ii) determine whether the received light signal includes the light emitted by the lighting module and scattered by a remote target, based at least in part on the wavelength selected by the lighting module.
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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:US20200074230A1
公开(公告)日:2020-03-05
申请号:US16560046
申请日:2019-09-04
Applicant: Luminar Technologies, Inc.
Inventor: Benjamin Englard , Miguel Alexander Peake
IPC: G06K9/62
Abstract: Automated training dataset generators that generate feature training datasets for use in real-world autonomous driving applications based on virtual environments are disclosed herein. The feature training datasets may be associated with training a machine learning model to control real-world autonomous vehicles. In some embodiments, an occupancy grid generator is used to generate an occupancy grid indicative of an environment of an autonomous vehicle from an imaging scene that depicts the environment. The occupancy grid is used to control the vehicle as the vehicle moves through the environment. In further embodiments, a sensor parameter optimizer may determine parameter settings for use by real-world sensors in autonomous driving applications. The sensor parameter optimizer may determine, based on operation of the autonomous vehicle, an optimal parameter setting of the parameter setting where the optimal parameter setting may be applied to a real-world sensor associated with real-world autonomous driving applications.
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公开(公告)号:US20200041647A1
公开(公告)日:2020-02-06
申请号:US16196618
申请日:2018-11-20
Applicant: Luminar Technologies, Inc.
Inventor: Eric C. Danziger , Austin K. Russell
Abstract: A computer-implemented method of determining relative velocity between a vehicle and an object. The method includes receiving sensor data generated by one or more sensors of the vehicle. The one or more sensors are configured to sense an environment through which the vehicle is moving by following a scan pattern comprising component scan lines. The method also includes obtaining, based on the sensor data and by one or more processors, two or more point cloud frames representative of the environment and tracking, by the one or more processors, a point cloud object across the two or more point cloud frames. Additionally, the method includes determining, based on the tracking and by the one or more processors, a relative velocity of the point cloud object and correcting, by the one or more processors, the point cloud object based on the relative velocity of the point cloud object.
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公开(公告)号:US20200041619A1
公开(公告)日:2020-02-06
申请号:US16196650
申请日:2018-11-20
Applicant: LUMINAR TECHNOLOGIES, INC.
Inventor: Pranav Maheshwari , Tomi P. Maila , Benjamin Englard
Abstract: A computer-implemented method of determining a relative velocity between a vehicle and an object. The method includes receiving sensor data generated by one or more sensors of the vehicle configured to sense an environment following a scan pattern. The method also includes obtaining, based on the sensor data, a point cloud frame. The point cloud frame comprises a plurality of points of depth data and a time at which the depth data was captured. Additionally, the method includes selecting two or more points of the scan pattern that overlap the object. The selected points are located on or near a two-dimensional surface corresponding to the object, and the depth data for two or more of the selected points are captured at different times. The method includes calculating the relative velocity between the vehicle and the object based on the depth data and capture times associated with the selected points.
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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:US10401480B1
公开(公告)日:2019-09-03
申请号:US16210704
申请日:2018-12-05
Applicant: Luminar Technologies, Inc.
Inventor: Stephen D. Gaalema , Mark A. Drummer , Stephen L. Mielke , Jason M. Eichenholz
Abstract: In one embodiment, a lidar system includes a light source configured to emit multiple optical signals directed into a field of regard of the lidar system. The optical signals include a first optical signal and a second optical signal, where the second optical signal is emitted a particular time interval after the first optical signal is emitted. The lidar system also includes a receiver configured to detect a received optical signal that includes a portion of the emitted first or second optical signal that is scattered by a target located a distance from the lidar system. The received optical signal is detected after the second optical signal is emitted. The receiver includes a first detector configured to detect a first portion of the received optical signal and a second detector configured to detect a second portion of the received optical signal.
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公开(公告)号:US20190221988A1
公开(公告)日:2019-07-18
申请号:US16273736
申请日:2019-02-12
Applicant: Luminar Technologies, Inc.
Inventor: Alain Villeneuve , Jason M. Eichenholz , Laurance S. Lingvay
IPC: H01S3/094 , H01S3/00 , G02B27/10 , G01S7/48 , H01S5/00 , G02B27/09 , H01S3/08 , H01S3/067 , G01S7/486 , G01S17/10 , H01S3/13 , G02B26/10 , G01S17/42 , G01S7/481 , G01S7/484 , G01S7/497 , H01S3/23 , H01S5/40
Abstract: In one embodiment, a laser system includes a seed laser diode configured to produce a free-space seed-laser beam and a seed-laser focusing lens configured to focus the seed-laser beam. The laser system also includes a semiconductor optical amplifier (SOA) that includes a front facet, a back facet, and a waveguide extending from the front facet to the back facet. The SOA is configured to: receive, at the front facet, light from the focused seed-laser beam; amplify the received light as the received light propagates along the SOA waveguide from the front facet to the back facet; and emit, from the back facet, an amplified free-space beam that includes the amplified received light. The laser system further includes a mounting platform, where one or more of the seed laser diode, the seed-laser focusing lens, and the SOA are mechanically attached to the mounting platform.
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