AUTONOMOUS DRIVING OBJECT DETECTION AND AVOIDANCE

    公开(公告)号:US20250115277A1

    公开(公告)日:2025-04-10

    申请号:US18983755

    申请日:2024-12-17

    Applicant: Zoox, Inc.

    Abstract: This disclosure describes techniques for autonomous vehicles to determine driving paths and associated trajectories through unstructured or off-route driving environments. When an object is detected within a driving environment, a vehicle may determine a cost-based side association for the object. Various costs may be used in different examples, including costs based on a cost plot and/or motion primitives that may vary for terminal and non-terminal desired destinations (or ending vehicle states). Using tree searches to determine estimated candidate costs, the autonomous vehicle may compare right-side and left-side driving path costs around the object to determine a side association for the object. Based on the side association, the autonomous vehicle may determine an updated planning corridor and/or a trajectory to control the vehicle from a current state to a desired ending vehicle state.

    Trajectory modification based on wind compensation

    公开(公告)号:US12246751B1

    公开(公告)日:2025-03-11

    申请号:US17240365

    申请日:2021-04-26

    Applicant: Zoox, Inc.

    Inventor: Kazuhide Okamoto

    Abstract: Techniques for determining environmental data of an environment associated with a vehicle are discussed herein. The vehicle can use the data to determine a vehicle configuration data, a trajectory for the vehicle to traverse, a route to a destination, or orientation for ingress/egress. The vehicle can determine control data based on the vehicle configuration data, the trajectory, or the route. The vehicle configuration data may be associated with a setting of a suspension component, a speed, or other component. The trajectory may be biased based on a source of the wind. The route may be selected from a first candidate route and a second candidate route using a first wind score associated with the first candidate route and a second score associated with the second candidate route. The vehicle can use a sensor, such as a wind sensor, to capture or otherwise determine the wind data.

    Vehicle control to join route
    5.
    发明授权

    公开(公告)号:US12054150B2

    公开(公告)日:2024-08-06

    申请号:US16732122

    申请日:2019-12-31

    Applicant: Zoox, Inc.

    Abstract: Techniques for determining a location for a vehicle to join a route structure are discussed herein. A vehicle computing system may operate the vehicle off the route structure according to an inertial-based reference frame. The vehicle computing system may determine a lateral distance of the vehicle to a route of the route structure and an angular difference between a heading of the vehicle and a direction of travel associated with the route. The vehicle computing system may determine a location to rejoin the route based on the lateral distance and the angular difference. In some examples, the vehicle computing system may determine the location based on a sigmoid function. The vehicle computing system may determine a vehicle trajectory to the location and may control the vehicle to the route based on the vehicle trajectory and the inertial-based reference frame.

    Autonomous driving object detection and avoidance

    公开(公告)号:US12208819B1

    公开(公告)日:2025-01-28

    申请号:US17589528

    申请日:2022-01-31

    Applicant: Zoox, Inc.

    Abstract: This disclosure describes techniques for autonomous vehicles to determine driving paths and associated trajectories through unstructured or off-route driving environments. When an object is detected within a driving environment, a vehicle may determine a cost-based side association for the object. Various costs may be used in different examples, including costs based on a cost plot and/or motion primitives that may vary for terminal and non-terminal desired destinations (or ending vehicle states). Using tree searches to determine estimated candidate costs, the autonomous vehicle may compare right-side and left-side driving path costs around the object to determine a side association for the object. Based on the side association, the autonomous vehicle may determine an updated planning corridor and/or a trajectory to control the vehicle from a current state to a desired ending vehicle state.

    Systems and methods for spatially controlled acceleration and deceleration

    公开(公告)号:US12174637B1

    公开(公告)日:2024-12-24

    申请号:US17957299

    申请日:2022-09-30

    Applicant: Zoox, Inc.

    Abstract: Systems and techniques for determining acceleration controls to use in a trajectory for use in controlling a vehicle are described. An acceleration determination system may receive a trajectory from a trajectory determination system and determine, based on various vehicle, acceleration, and spatial trajectory parameters, the appropriate controls to configure in a longitudinal profile of the trajectory and the suitable spatial implementation points for implementing the controls within acceleration rate change constraints. An operational trajectory determination system may determine a trajectory for use in operating the vehicle using one or more candidate trajectories and/or associated data, including one or more acceleration controls determined by the acceleration determination system.

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