BEHAVIORAL PATH-PLANNING FOR A VEHICLE
    3.
    发明申请

    公开(公告)号:US20200310448A1

    公开(公告)日:2020-10-01

    申请号:US16364262

    申请日:2019-03-26

    Abstract: Embodiments include methods, systems and computer readable storage medium for a method for behavioral path planning guidance for a vehicle is disclosed. The method includes installing a vehicle system into a vehicle, wherein the vehicle system provides path-planning guidance based on training data and one or more output trajectories generated from a plurality of predictive models and a plurality of input variables. The method includes determining, by a processor, a location of the vehicle on a map containing a road network and determining, by the processor, whether one or more objects exist within a predetermined range of the vehicle. The method includes selecting, by the processor, an output trajectory to traverse the road network based on the location of the vehicle on the map and the existence of one or more objects. The method includes controlling, by the processor, operation of the vehicle using the output trajectory.

    SYSTEMS AND METHODS FOR PREDICTING OBJECT BEHAVIOR

    公开(公告)号:US20200070822A1

    公开(公告)日:2020-03-05

    申请号:US16121485

    申请日:2018-09-04

    Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, a method includes: receiving sensor data sensed from an environment associated with the vehicle; processing, by a processor, the sensor data to determine a plurality of objects within the environment of the vehicle; processing, by the processor, the sensor data to determine feature data associated with each of the plurality of objects, wherein the feature data includes current data of each object, history data of each object, and interaction data between each object and at least two other objects; processing, by the processor, the feature data associated with a first object of the plurality of objects with a model to determine a future position of the first object; and controlling, by the processor, the vehicle based on the future position.

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