ROAD CONDITION DEEP LEARNING MODEL
    36.
    发明申请

    公开(公告)号:WO2021247364A1

    公开(公告)日:2021-12-09

    申请号:PCT/US2021/034520

    申请日:2021-05-27

    Applicant: WAYMO LLC

    Abstract: The technology relates to using on-board sensor data (1002A), off-board information (1002B) and a deep learning model (1008) to classify road wetness and/or to perform a regression analysis on road wetness based on a set of input information. Such information includes on-board (802) and/or off-board signals (804) obtained from one or more sources including on-board perception sensors, other on-board modules, external weather measurement, external weather services, etc. The ground truth includes measurements of water film thickness and/or ice coverage on road surfaces. The ground truth, on-board and off-board signals are used to build the model. The constructed model can be deployed in autonomous vehicles for classifying/regressing (1016) the road wetness with on-board and/or off-board signals as the input, without referring to the ground truth. The model can be applied in a variety of ways to enhance autonomous vehicle operation, for instance by altering current driving actions, modifying planned routes or trajectories, activating on-board cleaning systems, etc.

    CONTROL LOOP FOR NAVIGATING A VEHICLE
    39.
    发明申请

    公开(公告)号:WO2021198775A1

    公开(公告)日:2021-10-07

    申请号:PCT/IB2021/000201

    申请日:2021-04-01

    Abstract: A system for navigating a vehicle may include a processor programmed to receive an output provided by a vehicle sensor, and determine a navigational maneuver for the vehicle along a road segment based on the output provided by the vehicle sensor. The processor may also be programmed to determine a yaw rate command and a speed command for implementing the navigational maneuver. The processor may also be programmed to determine a first vehicle steering angle based on the yaw rate and speed commands using a first control subsystem, and determine a second vehicle steering angle based on the yaw rate and speed commands using a second control subsystem. The processor may further be programmed to determine an overall steering command for the vehicle based on a combination of the first and second steering angles, and cause an actuator associated with the vehicle to implement the overall steering command.

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