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公开(公告)号:US12131550B1
公开(公告)日:2024-10-29
申请号:US17138125
申请日:2020-12-30
Applicant: Waymo LLC
Inventor: Colin Braley , Volodymyr Ivanchenko
IPC: G06V20/58 , B60W60/00 , G06F18/213 , G06V10/75
CPC classification number: G06V20/58 , B60W60/001 , G06F18/213 , G06V10/751 , B60W2420/403 , B60W2420/408 , B60W2554/20
Abstract: In one example, a method is provided that includes receiving lidar data obtained by a lidar device. The lidar data includes a plurality of data points indicative of locations of reflections from an environment of the vehicle. The method includes receiving images of portions of the environment captured by a camera at different times. The method also includes determining locations in the images that correspond to a data point of the plurality of data points. Additionally, the method includes determining feature descriptors for the locations of the images and comparing the feature descriptors to determine that sensor data associated with at least one of the lidar device, the camera, or a pose sensor is accurate or inaccurate.
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公开(公告)号:US20230152429A1
公开(公告)日:2023-05-18
申请号:US17454885
申请日:2021-11-15
Applicant: Waymo LLC
Inventor: Colin Braley , Po-Chao Huang , Chase Salsbury , Hanna Revinskaya
IPC: G01S7/4863 , H04N5/235 , H04N5/225 , G01S17/89 , G01S17/931
CPC classification number: G01S7/4863 , H04N5/2353 , H04N5/2258 , G01S17/89 , G01S17/931
Abstract: An example method includes receiving, from a light detector, information indicative of a light intensity of a field of view of an optical system. The optical system includes one or more optical components and a light detector configured to receive light from a field of view of an environment of the optical system by way of the one or more optical components. The optical system also includes an occlusion-detection camera configured to capture images of the one or more optical components. The example method also includes adjusting, based on the received information, at least one operating parameter of the occlusion-detection camera. The example method also includes causing the occlusion-detection camera to capture at least one image of the one or more optical components according to the at least one adjusted operating parameter.
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公开(公告)号:US20220244395A1
公开(公告)日:2022-08-04
申请号:US17173242
申请日:2021-02-11
Applicant: Waymo LLC
Inventor: Mingcheng Chen , Colin Braley , Volker Grabe , Christian Lauterbach
IPC: G01S17/931 , G01S7/497
Abstract: Example embodiments relate to calibration and localization of a light detection and ranging (lidar) device using a previously calibrated and localized lidar device. An example embodiment includes a method. The method includes receiving, by a computing device associated with a second vehicle, a first point cloud captured by a first lidar device of a first vehicle. The first point cloud includes points representing the second vehicle. The method also includes receiving, by the computing device, pose information indicative of a pose of the first vehicle. In addition, the method includes capturing, using a second lidar device of the second vehicle, a second point cloud. Further, the method includes receiving, by the computing device, a third point cloud representing the first vehicle. Yet further, the method includes calibrating and localizing, by the computing device, the second lidar device.
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公开(公告)号:US20200019160A1
公开(公告)日:2020-01-16
申请号:US16035576
申请日:2018-07-13
Applicant: Waymo LLC
Inventor: Stephanie McArthur , Mark Alexander Shand , Colin Braley
Abstract: An example method involves detecting a sensor-testing trigger. Detecting the sensor-testing trigger may comprise determining that a vehicle is within a threshold distance to a target in an environment of the vehicle. The method also involves obtaining sensor data collected by a sensor of the vehicle after the detection of the sensor-testing trigger. The sensor data is indicative of a scan of a region of the environment that includes the target. The method also involves comparing the sensor data with previously-collected sensor data indicating detection of the target by one or more sensors during one or more previous scans of the environment. The method also involves generating performance metrics related to the sensor of the vehicle based on the comparison.
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公开(公告)号:US12085678B1
公开(公告)日:2024-09-10
申请号:US17138180
申请日:2020-12-30
Applicant: Waymo LLC
Inventor: Gil Shotan , Colin Braley , Volker Grabe , Volodymyr Ivanchenko
CPC classification number: G01S7/497 , G01S7/4817 , G01S17/894 , G05D1/0291 , G08G1/22 , B60W50/06 , B60W60/001 , B60W2420/403 , B60W2420/408
Abstract: Example embodiments relate to methods for localizing light detection and ranging (lidar) calibration targets. An example method includes generating a point cloud of a region based on data from a light detection and ranging (lidar) device. The point cloud may include points representing at least a portion of a calibration target. The method also includes determining a presumed location of the calibration target. Further, the method includes identifying, within the point cloud, a location of a first edge of the calibration target. In addition, the method includes performing a comparison between the identified location of the first edge of the calibration target and a hypothetical location of the first edge of the calibration target within the point cloud if the calibration target were positioned at the presumed location. Still further, the method includes revising the presumed location of the calibration target based on at least the comparison.
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公开(公告)号:US11965965B2
公开(公告)日:2024-04-23
申请号:US17388199
申请日:2021-07-29
Applicant: Waymo LLC
Inventor: Mingcheng Chen , Colin Braley , Craig Lewin Robinson , Christian Lauterbach
CPC classification number: G01S17/89 , G05D1/0088
Abstract: The technology relates to localizing a vehicle. As one approach, a first LIDAR sensor scan data of an environment of the vehicle and localization data for the vehicle at a location where the first LIDAR sensor scan was captured are stored. Thereafter, the computing device is suspended and subsequently unsuspended. After the computing device is unsuspended, second LIDAR sensor scan data of the vehicle's environment is received. The first LIDAR sensor scan data is compared to the second LIDAR sensor scan data to determine whether the vehicle has moved. Based on the determination of whether the vehicle has moved from the location, the stored localization data is used to localize the vehicle. Other approaches are also described.
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公开(公告)号:US20230171503A1
公开(公告)日:2023-06-01
申请号:US17456861
申请日:2021-11-29
Applicant: Waymo LLC
Inventor: Colin Braley , Chase Salsbury , Po-Chao Huang
CPC classification number: H04N5/2353 , H04N7/18 , H04N5/2351 , G01S7/497 , G01S17/931 , G01S17/89 , G01S17/86 , G01S2007/4975
Abstract: Example embodiments relate to taking images at certain predetermined angles in order to have consistent exposure throughout the images. An example embodiment includes a method. The method includes determining, using a lidar device, light intensity information of a surrounding environment of the lidar device. The light intensity information includes a plurality of angles within a threshold range of light exposure. The method also includes determining rotation times associated with each of the angles within the threshold range of light exposure. Further, the method includes based on the rotation times associated with each of the angles within the threshold range of light exposure, determining a plurality of target image times. In addition, the method includes capturing, by a camera system, a plurality of images at the plurality of target image times.
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公开(公告)号:US20210229686A1
公开(公告)日:2021-07-29
申请号:US17186249
申请日:2021-02-26
Applicant: Waymo LLC
Inventor: Colin Braley , Volker Grabe
IPC: B60W50/029 , G05D1/00 , B60W50/02
Abstract: Aspects of the disclosure provides for a method for performing checks for a vehicle. In this regard, a plurality of performance checks may be identified including a first check for a detection system of a plurality of detection systems of the vehicle and a second check for map data. A test route for the vehicle may be determined based on a location of the vehicle and the plurality of performance checks. The vehicle may be controlled along the test route in an autonomous driving mode, while sensor data may be received from the plurality of detection systems of the vehicle. An operation mode may be selected based on results of the plurality of performance checks, and the vehicle may be operated in the selected operation mode.
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公开(公告)号:US20200174131A1
公开(公告)日:2020-06-04
申请号:US16204534
申请日:2018-11-29
Applicant: Waymo LLC
Inventor: Mingcheng Chen , Colin Braley , Craig Lewin Robinson , Christian Lauterbach
Abstract: The technology relates to localizing a vehicle. As one approach, a first LIDAR sensor scan data of an environment of the vehicle and localization data for the vehicle at a location where the first LIDAR sensor scan was captured are stored. Thereafter, the computing device is suspended and subsequently unsuspended. After the computing device is unsuspended, second LIDAR sensor scan data of the vehicle's environment is received. The first LIDAR sensor scan data is compared to the second LIDAR sensor scan data to determine whether the vehicle has moved. Based on the determination of whether the vehicle has moved from the location, the stored localization data is used to localize the vehicle. Other approaches are also described.
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公开(公告)号:US20250102679A1
公开(公告)日:2025-03-27
申请号:US18372454
申请日:2023-09-25
Applicant: WAYMO LLC
Inventor: Colin Braley , Antonio Teran Espinoza , William Baxter , Michael Marx , Luke Wachter
IPC: G01S17/931 , B60S1/56 , B60W60/00 , G01S7/497
Abstract: Aspects of the disclosure provide for controlling behaviors of autonomous vehicles based on evaluation of sensors of those vehicles. For instance, sensor data including distance and intensity information for a point in an environment of an autonomous vehicle may be received. An expected intensity value from a pre-stored fair weather reference map may be identified based on a location of the point. An effective detection range for the sensor may be dynamically determined based on the expected intensity and the intensity information for the point. A behavior of the autonomous vehicle may be controlled based on the effective detection range.
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