A TRAFFIC PLANNING METHOD FOR A VEHICLE FLEET

    公开(公告)号:EP4462403A1

    公开(公告)日:2024-11-13

    申请号:EP23173047.4

    申请日:2023-05-12

    摘要: A computer-implemented traffic planning method (100) for controlling a plurality of vehicles which are movable among multiple shared resources, comprising:
    receiving (no) a transport mission;
    generating (112) a root node representing an initial resource occupancy of the vehicles;
    sequentially generating (114) a search tree from the root node, in which each edge represents a motion command and each node represents a resource occupancy, wherein each node is associated with a score including an anticipated reward for fulfilling the transport mission;
    identifying (116) a target node with an acceptable score; and
    deriving (118) a planned sequence of motion commands corresponding to a path to the target node, wherein:
    child nodes of a leaf node are generated (114.4) subject to a tree-expansion criterion (114.2);
    a reward is assigned (114.6) to a child node if the transport mission is fulfilled; and
    an anticipated value of the assigned reward is added (114.8) to all parent nodes.

    INTELLIGENT DRIVING METHOD, DEVICE, AND VEHICLE COMPRISING SAID DEVICE

    公开(公告)号:EP4462255A1

    公开(公告)日:2024-11-13

    申请号:EP22926379.3

    申请日:2022-02-15

    摘要: This application relates to an autonomous driving apparatus, including a processing apparatus. The processing apparatus includes a plurality of processor cores. At least a part of processor cores in the plurality of processor cores are fixedly allocated to a specified task set. Fixed allocation means that the at least a part of processor cores in the plurality of processor cores are configured to process only the specified task set, and the specified task set is a non-empty set. Most of processor cores of an autonomous driving system are fixedly allocated to an autonomous driving task in advance, so that it can be ensured that, even in a multi-target (obstacle) scenario, computing power provided by processor cores can meet a sensing task and a planning task in the autonomous driving task in the foregoing various scenarios. Therefore, a problem that an autonomous driving policy cannot be provided in real time because the sensing task and the planning task cannot be processed timely is avoided.

    VEHICLE CONTROLLER, VEHICLE, AND VEHICLE CONTROL METHOD

    公开(公告)号:EP4458635A1

    公开(公告)日:2024-11-06

    申请号:EP22913618.9

    申请日:2022-10-08

    IPC分类号: B60W50/00 B60W60/00 H01R24/68

    摘要: The present application provides a vehicle controller, a vehicle, and a vehicle control method, comprising : a substrate and at least one core computing processor board located on the substrate, the core computing processor board being used to provide corresponding computing power according to an autonomous driving scenario. The autonomous driving scenario comprises at least one of level L3 autonomous driving, level L4 autonomous driving, and level L5 autonomous driving. Both the substrate and each core computing processor board comprise a communication interface, the communication interface of the substrate and the communication interface of the core computing processor board being connected by means of a board-to-board connector. In this way, the vehicle controller is divided into two types of board layer structures, which are connected by means of a standardized interface of the board-to-board connector, so that the substrate can adapt to different core computing processor boards, thereby implementing flexible expansion of computing power. In addition, the number of core computing processor boards can be controlled to provide the required computing power for different autonomous driving scenarios, so that the vehicle controller can meet the requirements of different autonomous driving scenarios.