Intelligent Engine Activation Planner

    公开(公告)号:US20220194355A1

    公开(公告)日:2022-06-23

    申请号:US17130315

    申请日:2020-12-22

    IPC分类号: B60W20/13 B60W10/06 G01C21/34

    摘要: A system includes a battery, an engine, and a processor. The processor is configured to plan, according to a model, an activation action of the engine of a vehicle for a next road segment subsequent to a current road segment; and activate, for the next road segment, the engine according to the activation action. The model includes a state space that includes a navigation map, which includes the current road segment of the vehicle, a current charge level of the battery, and whether the engine is currently on or off. The activation action is selected from a set comprising a first action to turn on the engine to charge the battery and a second action to turn off the engine.

    Probabilistic object tracking and prediction framework

    公开(公告)号:US11040729B2

    公开(公告)日:2021-06-22

    申请号:US17048904

    申请日:2018-05-31

    摘要: A method for world objects tracking and prediction by an autonomous vehicle includes receiving, from sensors of the AV, a first observation data; associating the first observation data with a first world object; determining hypotheses for the first world object; determining a respective hypothesis likelihood of each of the hypotheses indicating a likelihood that the first world object follows the intention; determining, for at least one hypothesis of the hypotheses, a respective state; and in response to a query, providing a hypothesis of the hypotheses based on the respective hypothesis likelihood of each of the hypotheses. A hypothesis corresponds to an intention of the first world object and the respective state includes predicted positions of the first world object.

    Transportation network infrastructure for autonomous vehicle decision making

    公开(公告)号:US10994748B2

    公开(公告)日:2021-05-04

    申请号:US16971153

    申请日:2018-02-28

    摘要: 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:US20210125500A1

    公开(公告)日:2021-04-29

    申请号:US16965500

    申请日:2018-01-31

    摘要: 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 In 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.