Calibration of detection system to vehicle using a mirror

    公开(公告)号:US10943367B1

    公开(公告)日:2021-03-09

    申请号:US16032417

    申请日:2018-07-11

    Applicant: Waymo LLC

    Abstract: The disclosure provides for a method of calibrating a detection system that is mounted on a vehicle. The method includes detecting characteristics of the mirror and characteristics of a vehicle portion using the detection system. The mirror reflects the vehicle portion to be detected using the detection system. The method also includes determining a first transform based on the detected one or more of mirror characteristics, determining a second transform based on the one or more vehicle portion characteristics, and determining a third transform based on a known position of the vehicle portion in relation to the vehicle. Further, the method includes determining a position of the detection system relative to the vehicle based on the first, second, and third transforms and then calibrating the detection system using the determined position of the detection system relative to the vehicle.

    Identification of proxy calibration targets for a fleet of vehicles

    公开(公告)号:US12275430B2

    公开(公告)日:2025-04-15

    申请号:US18437476

    申请日:2024-02-09

    Applicant: Waymo LLC

    Abstract: Example embodiments relate to identification of proxy calibration targets for a fleet of sensors. An example method includes collecting, using a sensor coupled to a vehicle, data about one or more objects within an environment of the vehicle. The sensor has been calibrated using a ground-truth calibration target. The method also includes identifying, based on the collected data, at least one candidate object, from among the one or more objects, to be used as a proxy calibration target for other sensors coupled to vehicles within a fleet of vehicles. Further, the method includes providing, by the vehicle, data about the candidate object for use by one or more vehicles within the fleet of vehicles.

    Methods for Localizing Light Detection and Ranging (Lidar) Calibration Targets

    公开(公告)号:US20240393443A1

    公开(公告)日:2024-11-28

    申请号:US18794511

    申请日:2024-08-05

    Applicant: Waymo LLC

    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.

    Identifying Defects in Optical Detector Systems Based on Extent of Stray Light

    公开(公告)号:US20240056565A1

    公开(公告)日:2024-02-15

    申请号:US18492528

    申请日:2023-10-23

    Applicant: Waymo LLC

    Abstract: Example embodiments relate to identifying defects in optical detector systems based on extent of stray light. An example embodiment includes a method. The method includes capturing, using an optical detector system, an image of a scene that includes a bright object. The method also includes determining a location of the bright object within the image. Further, the method includes determining, based on the location of the bright object within the image, an extent of stray light from the bright object that is represented in the image. In addition, the method includes determining, by comparing the extent of stray light from the bright object that is represented in the image to a predetermined threshold extent of stray light, whether one or more defects are present within the optical detector system. The predetermined threshold extent of stray light corresponds to an expected extent of stray light.

    Identifying defects in optical detector systems based on extent of stray light

    公开(公告)号:US11172192B2

    公开(公告)日:2021-11-09

    申请号:US16377527

    申请日:2019-04-08

    Applicant: Waymo LLC

    Abstract: Example embodiments relate to identifying defects in optical detector systems based on extent of stray light. An example embodiment includes a method. The method includes capturing, using an optical detector system, an image of a scene that includes a bright object. The method also includes determining a location of the bright object within the image. Further, the method includes determining, based on the location of the bright object within the image, an extent of stray light from the bright object that is represented in the image. In addition, the method includes determining, by comparing the extent of stray light from the bright object that is represented in the image to a predetermined threshold extent of stray light, whether one or more defects are present within the optical detector system. The predetermined threshold extent of stray light corresponds to an expected extent of stray light.

    Identification of Proxy Calibration Targets for a Fleet of Vehicles

    公开(公告)号:US20210197854A1

    公开(公告)日:2021-07-01

    申请号:US17138083

    申请日:2020-12-30

    Applicant: Waymo LLC

    Abstract: Example embodiments relate to identification of proxy calibration targets for a fleet of sensors. An example method includes collecting, using a sensor coupled to a vehicle, data about one or more objects within an environment of the vehicle. The sensor has been calibrated using a ground-truth calibration target. The method also includes identifying, based on the collected data, at least one candidate object, from among the one or more objects, to be used as a proxy calibration target for other sensors coupled to vehicles within a fleet of vehicles. Further, the method includes providing, by the vehicle, data about the candidate object for use by one or more vehicles within the fleet of vehicles.

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