COLLISION AVOIDANCE SUPPORT DEVICE AND METHOD

    公开(公告)号:US20240182023A1

    公开(公告)日:2024-06-06

    申请号:US18527868

    申请日:2023-12-04

    摘要: A collision avoidance support device configured to determine whether or not automatic braking for decelerating an own vehicle should be executed based on a predetermined determination condition in a situation where it is determined that there is a possibility of a collision between another vehicle traveling on a road intersecting an own vehicle road and the own vehicle, to decelerate the own vehicle by the automatic braking when it is determined that the automatic braking should be executed, and further to, when it is determined that the own vehicle road is a non-priority road, make it easier to be determined that the automatic braking should be executed by relaxing the predetermined determination condition as compared to when it is determined that the own vehicle road is not a non-priority road.

    Belief state determination for real-time decision-making

    公开(公告)号:US11921506B2

    公开(公告)日:2024-03-05

    申请号:US17333585

    申请日:2021-05-28

    IPC分类号: G05D1/00 B60W30/18 B60W60/00

    摘要: Real-time decision-making for a vehicle using belief state determination is described. Operational environment data is received while the vehicle is traversing a vehicle transportation network, where the data includes data associated with an external object. An operational environment monitor establishes an observation that relates the object to a distinct vehicle operation scenario. A belief state model of the monitor computes a belief state for the observation directly from the operational environment data. The monitor provides the computed belief state to a decision component implementing a policy that maps a respective belief state for the object within the distinct vehicle operation scenario to a respective candidate vehicle control action. A candidate vehicle control action is received from the policy of the decision component, and a vehicle control action is selected for traversing the vehicle transportation from any available candidate vehicle control actions.