Knowledge distillation for autonomous vehicles

    公开(公告)号:US12221118B2

    公开(公告)日:2025-02-11

    申请号:US17013298

    申请日:2020-09-04

    Applicant: Waymo LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing knowledge distillation for autonomous vehicles. One of the methods includes obtaining sensor data characterizing an environment, wherein the sensor data has been captured by one or more sensors on-board a vehicle in the environment; processing, for each of one or more surrounding agents in the environment, a network input generated from the sensor data using a neural network to generate an agent discomfort prediction that characterizes a level of discomfort of the agent; combining the one or more agent discomfort predictions to generate an aggregated discomfort score; and providing the aggregated discomfort score to a path planning system of the vehicle in order to generate a future path of the vehicle.

    ASSESSING SURPRISE FOR AUTONOMOUS VEHICLES
    2.
    发明公开

    公开(公告)号:US20240308551A1

    公开(公告)日:2024-09-19

    申请号:US18672812

    申请日:2024-05-23

    Applicant: Waymo LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for computing a backward looking surprise metric for autonomously driven vehicles. One of the methods includes obtaining first data representing one or more previously predicted states of an agent along one or more predicted trajectories of the agent at a first time step. Second data representing one or more states of the agent at a subsequent time step is obtained. A surprise score is computed from a measure of a difference between the first data computed for the one or more predicted trajectories for the prior time step and the second data computed for the one or more predicted states for the subsequent time step.

    KNOWLEDGE DISTILLATION FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20220073085A1

    公开(公告)日:2022-03-10

    申请号:US17013298

    申请日:2020-09-04

    Applicant: Waymo LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing knowledge distillation for autonomous vehicles. One of the methods includes obtaining sensor data characterizing an environment, wherein the sensor data has been captured by one or more sensors on-board a vehicle in the environment; processing, for each of one or more surrounding agents in the environment, a network input generated from the sensor data using a neural network to generate an agent discomfort prediction that characterizes a level of discomfort of the agent; combining the one or more agent discomfort predictions to generate an aggregated discomfort score; and providing the aggregated discomfort score to a path planning system of the vehicle in order to generate a future path of the vehicle.

    Predictability-Based Autonomous Vehicle Trajectory Assessments

    公开(公告)号:US20220169278A1

    公开(公告)日:2022-06-02

    申请号:US17108626

    申请日:2020-12-01

    Applicant: Waymo LLC

    Abstract: Data representing a set of predicted trajectories and a planned trajectory for an autonomous vehicle is obtained. A predictability score for the planned trajectory can be determined based on a comparison of the planned trajectory to the set of predicted trajectories for the autonomous vehicle. The predictability score indicates a level of predictability of the planned trajectory. A determination can be made, based at least on the predictability score, whether to initiate travel with the autonomous vehicle along the planned trajectory. In response to determining to initiate travel with the autonomous vehicle along the planned trajectory, a control system can be directed to maneuver the autonomous vehicle along the planned trajectory.

    Assessing surprise for autonomous vehicles

    公开(公告)号:US12017686B1

    公开(公告)日:2024-06-25

    申请号:US17399418

    申请日:2021-08-11

    Applicant: Waymo LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for computing a backward looking surprise metric for autonomously driven vehicles. One of the methods includes obtaining first data representing one or more previously predicted states of an agent along one or more predicted trajectories of the agent at a first time step. Second data representing one or more states of the agent at a subsequent time step is obtained. A surprise score is computed from a measure of a difference between the first data computed for the one or more predicted trajectories for the prior time step and the second data computed for the one or more predicted states for the subsequent time step.

    PREDICTABILITY-BASED AUTONOMOUS VEHICLE TRAJECTORY ASSESSMENTS

    公开(公告)号:US20240278802A1

    公开(公告)日:2024-08-22

    申请号:US18393418

    申请日:2023-12-21

    Applicant: Waymo LLC

    CPC classification number: B60W60/001 G06F18/214 G06F18/2415 G06N3/08 G06V20/56

    Abstract: Data representing a set of predicted trajectories and a planned trajectory for an autonomous vehicle is obtained. A predictability score for the planned trajectory can be determined based on a comparison of the planned trajectory to the set of predicted trajectories for the autonomous vehicle. The predictability score indicates a level of predictability of the planned trajectory. A determination can be made, based at least on the predictability score, whether to initiate travel with the autonomous vehicle along the planned trajectory. In response to determining to initiate travel with the autonomous vehicle along the planned trajectory, a control system can be directed to maneuver the autonomous vehicle along the planned trajectory.

Patent Agency Ranking