TRANSPORTATION NETWORK INFRASTRUCTURE FOR AUTONOMOUS VEHICLE DECISION MAKING

    公开(公告)号:WO2019168530A1

    公开(公告)日:2019-09-06

    申请号:PCT/US2018/020288

    申请日:2018-02-28

    Abstract: According to some implementations of the present disclosure, a method for controlling an autonomous vehicle is disclosed. The method includes traversing the transportation network in accordance with a route and receiving vehicle sensor data from one or more vehicle sensors of the autonomous vehicle. The method also includes determining that the autonomous vehicle has encountered an occlusion scenario based on the vehicle sensor data. In response to determining that the autonomous vehicle has encountered the occlusion scenario, the method includes transmitting a request for infrastructure data to an external resource via a communication network, receiving infrastructure data from the external resource, determining a control action for the autonomous vehicle to perform based on the infrastructure data and the vehicle sensor data, and controlling the autonomous vehicle based on the control action.

    COMPUTING FRAMEWORK FOR BATCH ROUTING OF AUTONOMOUS VEHICLES

    公开(公告)号:WO2019152014A1

    公开(公告)日:2019-08-08

    申请号:PCT/US2018/016194

    申请日:2018-01-31

    Abstract: Batch routing of autonomous vehicles is disclosed. A method may include maintaining a plurality of vehicle state data object instances that respectively correspond to a plurality of autonomous vehicles. The method includes obtaining a traffic condition location and determining a group of autonomous vehicles from the plurality of autonomous vehicles where the current route of each autonomous vehicle intersects the traffic condition location. The method also includes determining two or more subgroups of autonomous vehicles, and for each subgroup, determining a respective avoidance waypoint corresponding to the subgroup that is not on the current route of the autonomous vehicle. For each autonomous vehicle in the subgroup, the method includes determining an updated route based on the current route of the autonomous vehicle and the respective avoidance waypoint, generating a control instruction based on the updated route, and transmitting the control instruction to the autonomous vehicle.

    COMPUTING FRAMEWORK FOR VEHICLE DECISION MAKING AND TRAFFIC MANAGEMENT

    公开(公告)号:WO2023003619A1

    公开(公告)日:2023-01-26

    申请号:PCT/US2022/028672

    申请日:2022-05-11

    Abstract: A computing framework for addressing a variety of vehicle conditions includes receiving, from a first set of sensors by an edge compute node, first transportation network data associated with a transportation network region, receiving, from a second set of sensors by a cloud computing node, second transportation network data associated multiple transportation network regions, providing, by the edge compute node to one or more autonomous vehicles at the transportation network region, real-time transportation network region information based on at least the first transportation network data to facilitate control decisions by the one or more autonomous vehicles, and providing, by the cloud computing node to at least the one or more autonomous vehicles, non-real-time transportation network region information based on at least the second transportation network data to facilitate the control decisions by the at least one or more autonomous vehicles.

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