POLYLINE CONTOUR REPRESENTATIONS FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20240190423A1

    公开(公告)日:2024-06-13

    申请号:US18588333

    申请日:2024-02-27

    Applicant: Waymo LLC

    Abstract: Aspects of the disclosure relate to controlling a vehicle having an autonomous driving mode or an autonomous vehicle. For instance, a polygon representative of the shape and location of a first object may be received. A polyline contour representation of a portion of a polygon representative of the shape and location of a second object may be received. The polyline contour representation may be in half-plane coordinates and including a plurality of vertices and line segments. Coordinates of the polygon representative of the first object may be converted to the half-plane coordinate system. A collision location between the polyline contour representation and the polygon representative of the first object may be determined using the converted coordinates. The autonomous vehicle may be controlled in the autonomous driving mode to avoid a collision based on the collision location.

    Agent trajectory prediction using target locations

    公开(公告)号:US11987265B1

    公开(公告)日:2024-05-21

    申请号:US17387852

    申请日:2021-07-28

    Applicant: Waymo LLC

    CPC classification number: B60W60/001 G06N3/02 B60W2420/42 B60W2554/4049

    Abstract: A system obtains scene context data characterizing the environment. The scene context data includes data that characterizes a trajectory of an agent in a vicinity of a vehicle up to a current time point. The system identifies a plurality of initial target locations, and generates, for each of a plurality of target locations that each corresponds to one of the initial target locations, a respective predicted likelihood score that represents a likelihood that the target location will be an intended final location for a future trajectory of the agent. For each target location in a first subset of the target locations, the system generates a predicted future trajectory for the agent given that the target location is the intended final location for the future trajectory. The system further selects, as likely future trajectories of the agent, one or more of the predicted future trajectories.

    Self-reflection filtering
    100.
    发明授权

    公开(公告)号:US11977165B2

    公开(公告)日:2024-05-07

    申请号:US16989434

    申请日:2020-08-10

    Applicant: Waymo LLC

    CPC classification number: G01S17/931 G01S17/894 G05D1/0088 G01S7/497

    Abstract: The technology relates to handling of self-reflections of sensor signals off of a portion of a vehicle that is operating in an autonomous driving mode. Vehicle pose information and sensor pose information are determined at a given point in time while operating in the autonomous driving mode. Return signals from one or more scans of the environment are received from onboard sensors such as lidar sensors. The system evaluates, based on the vehicle and sensor pose information, whether a segment between a given one of the one or more sensors and a received point from a selected one of the return signals crosses any surface of a 3D model of the vehicle. The received point is identified as a self-return point. In response to identifying the received point as a self-return point, the vehicle is able to perform a driving operation in the autonomous driving mode.

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