DRIVING BEHAVIOR DETERMINING METHOD AND RELATED DEVICE THEREOF

    公开(公告)号:US20240166201A1

    公开(公告)日:2024-05-23

    申请号:US18426900

    申请日:2024-01-30

    CPC classification number: B60W30/09 B60W30/0956 B60W50/0097 B60W60/0015

    Abstract: This application provides example driving behavior determining methods and example related devices thereof. One example method in this application includes obtaining first driving data of a first vehicle and second driving data of a second vehicle. A driving behavior set in which the first vehicle has no risk of collision with the second vehicle is obtained based on the first driving data and the second driving data. The first driving data and the second driving data are processed by using a target model to obtain a predicted driving behavior of the first vehicle. In response to detecting that the driving behavior set includes the predicted driving behavior, the predicted driving behavior is determined as a driving behavior to be performed by the first vehicle.

    METHOD AND APPARATUS FOR PLANNING OBSTACLE AVOIDANCE PATH OF TRAVELING APPARATUS

    公开(公告)号:US20230159056A1

    公开(公告)日:2023-05-25

    申请号:US18156703

    申请日:2023-01-19

    Abstract: The planning method includes: obtaining a distance map; determining a first horizontal background cost potential field in a near-field range based on the distance map, where the first horizontal background cost potential field is a first repulsion field formed by an obstacle at a horizontal location on the traveling apparatus, the first horizontal background cost potential field includes a target minimum-value point, background costs on two horizontal sides of the target minimum-value point feature monotonicity, and the background cost represents a near-field horizontal collision cost caused by the obstacle at the horizontal location in the near-field range to the traveling apparatus; and determining a current obstacle avoidance path based on the first horizontal background cost potential field. The method for planning an obstacle avoidance path in embodiments of this application enables the traveling apparatus to avoid an obstacle safely and stably in a complex and narrow traffic scenario.

    VEHICLE MEETING METHOD AND RELATED APPARATUS

    公开(公告)号:US20250058804A1

    公开(公告)日:2025-02-20

    申请号:US18936090

    申请日:2024-11-04

    Abstract: A vehicle meeting method and a related apparatus are provided and relate to the field of intelligent driving. The method includes a vehicle switching from a first mode to a second mode operation, where the first mode is a mode in which a vehicle is controlled by the vehicle through autonomous decision-making, and the second mode is a mode in which the vehicle is remotely controlled by a roadside device through decision. The method also includes the vehicle receiving a vehicle meeting solution operation from the roadside device, where the vehicle meeting solution is used to schedule a plurality of vehicles that meet during vehicle meeting. Furthermore, the method includes the vehicle performs vehicle meeting operation based on the vehicle meeting solution.

    DECISION MAKING METHOD AND APPARATUS, AND VEHICLE

    公开(公告)号:US20240051572A1

    公开(公告)日:2024-02-15

    申请号:US18495071

    申请日:2023-10-26

    Abstract: The present disclosure relates to methods and apparatuses for decision making. An example method includes obtaining a predicted moving track of an ego vehicle and predicted moving tracks of obstacles around the ego vehicle. The method further includes determining a game object. The game object is an obstacle that is in the obstacles around the ego vehicle and whose predicted moving track intersects the predicted moving track of the ego vehicle or whose distance from the ego vehicle is less than a specified threshold. The method further includes constructing one sampling game space for each game object based on vehicle information of the ego vehicle, obstacle information of the game object, and road condition information that are collected by a sensor system. Each sampling game space includes one or more game policies. The method further includes calculating a policy cost of each game policy.

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