DEEP LEARNING SOLUTIONS FOR SAFE, LEGAL, AND/OR EFFICIENT AUTONOMOUS DRIVING

    公开(公告)号:US20190050729A1

    公开(公告)日:2019-02-14

    申请号:US15936323

    申请日:2018-03-26

    申请人: Intel Corporation

    摘要: Methods and apparatus relating to deep learning solutions for safe, legal, and/or efficient autonomous driving are described. In an embodiment, first logic determines a geographic location of a vehicle, a weather condition at the geographic location, and a maneuver for the vehicle based at least in part on sensor data and a target location. Memory stores data corresponding to the geographic location, the weather condition, and the maneuver. The first logic causes one or more motion planning logic to actuate or control movement of the vehicle based on the stored data. Other embodiments are also disclosed and claimed.

    VEHICLE-TO-MANY-VEHICLE COMMUNICATION
    9.
    发明申请

    公开(公告)号:US20190096244A1

    公开(公告)日:2019-03-28

    申请号:US15714530

    申请日:2017-09-25

    申请人: Intel Corporation

    摘要: Methods and apparatus are described for vehicle-to-vehicle communication. Embodiments receive a data request from a remote vehicle for data not available to the remote vehicle. Visual data from a host vehicle responsive to the data request that includes the data not available to the remote vehicle is determined. The visual data is analyzed for objects to create metadata associated with the visual data. The visual data and the metadata are provided to the remote vehicle in response to the data request.