Calibration of detection system to vehicle using a mirror

    公开(公告)号:US11615553B1

    公开(公告)日:2023-03-28

    申请号:US17725636

    申请日:2022-04-21

    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.

    Calibration and Localization of a Light Detection and Ranging (Lidar) Device Using a Previously Calibrated and Localized Lidar Device

    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

    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.

    Methods of calibrating or validating sensors by using a plurality of fiducials

    公开(公告)号:US11327162B1

    公开(公告)日:2022-05-10

    申请号:US16793463

    申请日:2020-02-18

    Applicant: Waymo LLC

    Abstract: The technology relates to fiducials for calibrating or validating a vehicle's sensors. One or more computing devices receive a plurality of data sets captured by the sensors from the plurality of fiducials. Each of the data sets corresponds to a respective sensor of the plurality of sensors. The one or more computing devices determine whether data in each of the plurality of data sets contains expected data representative of a respective fiducial of the plurality of fiducials. For each of the respective sensors, the one or more computing devices output a calibration status or a validation status associated with each data set that contains the expected data representative of the respective fiducial.

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

    公开(公告)号:US20200213581A1

    公开(公告)日:2020-07-02

    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.

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