AUTONOMOUS VEHICLE TRAJECTORY COMPUTED USING BOX-BASED PROBABILISTIC OVERLAP MODEL

    公开(公告)号:US20220194424A1

    公开(公告)日:2022-06-23

    申请号:US17130718

    申请日:2020-12-22

    Applicant: Waymo LLC

    Abstract: Aspects and implementations of the present disclosure relate to autonomous vehicle (AV) trajectories computed using a box-based probabilistic overlap model. An example method includes: receiving, by a data processing system of an AV, data descriptive of an agent state of an object relative to the AV; computing an initial overlap region between a first box representative of the AV and a second box representative of the agent state; updating dimensions of the second box; and computing an updated overlap region by interpolating the initial overlap region based on the updated dimensions of the second box.

    Modeling positional uncertainty of moving objects using precomputed polygons

    公开(公告)号:US11753045B2

    公开(公告)日:2023-09-12

    申请号:US17354614

    申请日:2021-06-22

    Applicant: Waymo LLC

    CPC classification number: B60W60/00274 B60W30/095 B60W2554/404 B60W2720/24

    Abstract: Aspects and implementations of the present disclosure relate to modeling of positional uncertainty of moving objects using precomputed polygons, for example, for the purposes of computing autonomous vehicle (AV) trajectories. An example method includes: receiving, by a data processing system of an AV, data descriptive of an agent state of an object; generating a polygon representative of the agent state; identifying extreme vertices of the polygon along a longitudinal axis parallel to a heading direction of the object or along a lateral axis orthogonal to the heading direction; and applying, based on the extreme vertices, at least one expansion transformation to the polygon along the longitudinal axis or the lateral axis to generate a precomputed polygon.

    LATERAL GAP PLANNING FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20230030104A1

    公开(公告)日:2023-02-02

    申请号:US17388843

    申请日:2021-07-29

    Applicant: Waymo LLC

    Abstract: Aspects of the disclosure provide for controlling an autonomous vehicle. For instance, a trajectory for the autonomous vehicle to traverse in order to follow a route to a destination may be generated. A first error value for a boundary of an object, a second error value for a location of the autonomous vehicle, a third error value for a predicted future location of the object may be received. An uncertainty value for the object may be determined by combining the first error value, the second error value, and the third error value. A lateral gap threshold for the object may be determined based on the uncertainty value. The autonomous vehicle may be controlled in an autonomous driving mode based on the lateral gap threshold for the object.

    LATERAL GAP PLANNING FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20250002051A1

    公开(公告)日:2025-01-02

    申请号:US18883353

    申请日:2024-09-12

    Applicant: Waymo LLC

    Abstract: Aspects of the disclosure provide for controlling an autonomous vehicle. For instance, a trajectory for the autonomous vehicle to traverse in order to follow a route to a destination may be generated. A first error value for a boundary of an object, a second error value for a location of the autonomous vehicle, a third error value for a predicted future location of the object may be received. An uncertainty value for the object may be determined by combining the first error value, the second error value, and the third error value. A lateral gap threshold for the object may be determined based on the uncertainty value. The autonomous vehicle may be controlled in an autonomous driving mode based on the lateral gap threshold for the object.

    POLYLINE CONTOUR REPRESENTATIONS FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20210053563A1

    公开(公告)日:2021-02-25

    申请号:US16688017

    申请日:2019-11-19

    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.

    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.

    MODELING POSITIONAL UNCERTAINTY OF MOVING OBJECTS USING PRECOMPUTED POLYGONS

    公开(公告)号:US20220402527A1

    公开(公告)日:2022-12-22

    申请号:US17354614

    申请日:2021-06-22

    Applicant: Waymo LLC

    Abstract: Aspects and implementations of the present disclosure relate to modeling of positional uncertainty of moving objects using precomputed polygons, for example, for the purposes of computing autonomous vehicle (AV) trajectories. An example method includes: receiving, by a data processing system of an AV, data descriptive of an agent state of an object; generating a polygon representative of the agent state; identifying extreme vertices of the polygon along a longitudinal axis parallel to a heading direction of the object or along a lateral axis orthogonal to the heading direction; and applying, based on the extreme vertices, at least one expansion transformation to the polygon along the longitudinal axis or the lateral axis to generate a precomputed polygon.

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