FILTERING RETURN POINTS IN A POINT CLOUD BASED ON RADIAL VELOCITY MEASUREMENT

    公开(公告)号:US20220153297A1

    公开(公告)日:2022-05-19

    申请号:US16952930

    申请日:2020-11-19

    Applicant: Waymo LLC

    Abstract: Aspects and implementations of the present disclosure relate to filtering of return points from a point cloud based on radial velocity measurements. An example method includes: receiving, by a sensing system of an autonomous vehicle (AV), data representative of a point cloud comprising a plurality of return points, each return point comprising a radial velocity value and position coordinates representative of a reflecting region that reflects a transmission signal emitted by the sensing system; applying, to each of the plurality of return points, at least one threshold condition related to the radial velocity value of a given return point to identify a subset of return points within the plurality of return points; removing the subset of return points from the point cloud to generate a filtered point cloud; and identifying objects represented by the remaining return points in the filtered point cloud.

    Filtering return points in a point cloud based on radial velocity measurement

    公开(公告)号:US11702102B2

    公开(公告)日:2023-07-18

    申请号:US16952930

    申请日:2020-11-19

    Applicant: Waymo LLC

    Abstract: Aspects and implementations of the present disclosure relate to filtering of return points from a point cloud based on radial velocity measurements. An example method includes: receiving, by a sensing system of an autonomous vehicle (AV), data representative of a point cloud comprising a plurality of return points, each return point comprising a radial velocity value and position coordinates representative of a reflecting region that reflects a transmission signal emitted by the sensing system; applying, to each of the plurality of return points, at least one threshold condition related to the radial velocity value of a given return point to identify a subset of return points within the plurality of return points; removing the subset of return points from the point cloud to generate a filtered point cloud; and identifying objects represented by the remaining return points in the filtered point cloud.

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