BEHAVIOR PREDICTION FOR RAILWAY AGENTS FOR AUTONOMOUS DRIVING SYSTEM

    公开(公告)号:US20240126296A1

    公开(公告)日:2024-04-18

    申请号:US18494997

    申请日:2023-10-26

    申请人: Waymo LLC

    IPC分类号: G05D1/617 G05D1/228

    CPC分类号: G05D1/617 G05D1/228

    摘要: To operate an autonomous vehicle, a rail agent is detected in a vicinity of the autonomous vehicle using a detection system. One or more tracks are determined on which the detected rail agent is possibly traveling, and possible paths for the rail agent are predicted based on the determined one or more tracks. One or more motion paths are determined for one or more probable paths from the possible paths, and a likelihood for each of the one or more probable paths is determined based on each motion plan. A path for the autonomous vehicle is then determined based on a most probable path associated with a highest likelihood for the rail agent, and the autonomous vehicle is operated using the determined path.

    PREDICTING AGENT TRAJECTORIES IN THE PRESENCE OF ACTIVE EMERGENCY VEHICLES

    公开(公告)号:US20230139578A1

    公开(公告)日:2023-05-04

    申请号:US17514766

    申请日:2021-10-29

    申请人: Waymo LLC

    摘要: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that obtain scene features in an environment that includes an autonomous vehicle, a first target agent, and a second target agent, and determines whether the first target agent is an emergency vehicle that is active at a current time point. In response to determining that the first target agent is an emergency vehicle that is active at the current time point, an input is generated from the scene features. The input can characterize the scene and indicate that the first target agent is an emergency vehicle that is active at the current time point. Also in response, the input can be processed using a machine learning model that is configured to generate a trajectory prediction output for the second target agent that characterizes predicted future behavior of the second target agent after the current time point.

    BEHAVIOR PREDICTIONS FOR ACTIVE EMERGENCY VEHICLES

    公开(公告)号:US20230133419A1

    公开(公告)日:2023-05-04

    申请号:US17514713

    申请日:2021-10-29

    申请人: Waymo LLC

    IPC分类号: B60W60/00 G05B13/02 B60W50/00

    摘要: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that obtain scene features in an environment that includes an autonomous vehicle and a target agent at a current time point; determine whether the target agent is an emergency vehicle that is active at the current time point; generate from the scene features, an input (i) that includes the scene features and (ii) that indicates whether the target vehicle is an emergency vehicle that is active at the current time point; and process the input using a machine learning model that is configured to generate a behavior prediction output for the target agent that characterizes predicted future behavior of the target agent after the current time point.

    Predicting trajectories of objects based on contextual information

    公开(公告)号:US10899345B1

    公开(公告)日:2021-01-26

    申请号:US16538063

    申请日:2019-08-12

    申请人: Waymo LLC

    摘要: Aspects of the disclosure relate to detecting and responding to objects in a vehicle's environment. For example, an object may be identified in a vehicle's environment, the object having a heading and location. A set of possible actions for the object may be generated using map information describing the vehicle's environment and the heading and location of the object. A set of possible future trajectories of the object may be generated based on the set of possible actions. A likelihood value of each trajectory of the set of possible future trajectories may be determined based on contextual information including a status of the detected object. A final future trajectory is determined based on the determined likelihood value for each trajectory of the set of possible future trajectories. The vehicle is then maneuvered in order to avoid the final future trajectory and the object.

    Behavior prediction for railway agents for autonomous driving system

    公开(公告)号:US11841704B2

    公开(公告)日:2023-12-12

    申请号:US17089046

    申请日:2020-11-04

    申请人: Waymo LLC

    IPC分类号: G05D1/02 G05D1/00

    摘要: To operate an autonomous vehicle, a rail agent is detected in a vicinity of the autonomous vehicle using a detection system. One or more tracks are determined on which the detected rail agent is possibly traveling, and possible paths for the rail agent are predicted based on the determined one or more tracks. One or more motion paths are determined for one or more probable paths from the possible paths, and a likelihood for each of the one or more probable paths is determined based on each motion plan. A path for the autonomous vehicle is then determined based on a most probable path associated with a highest likelihood for the rail agent, and the autonomous vehicle is operated using the determined path.

    BEHAVIOR PREDICTION FOR RAILWAY AGENTS FOR AUTONOMOUS DRIVING SYSTEM

    公开(公告)号:US20220137623A1

    公开(公告)日:2022-05-05

    申请号:US17089046

    申请日:2020-11-04

    申请人: Waymo LLC

    IPC分类号: G05D1/00 G05D1/02

    摘要: To operate an autonomous vehicle, a rail agent is detected in a vicinity of the autonomous vehicle using a detection system. One or more tracks are determined on which the detected rail agent is possibly traveling, and possible paths for the rail agent are predicted based on the determined one or more tracks. One or more motion paths are determined for one or more probable paths from the possible paths, and a likelihood for each of the one or more probable paths is determined based on each motion plan. A path for the autonomous vehicle is then determined based on a most probable path associated with a highest likelihood for the rail agent, and the autonomous vehicle is operated using the determined path.

    Predicting trajectories of objects based on contextual information

    公开(公告)号:US10421453B1

    公开(公告)日:2019-09-24

    申请号:US15802820

    申请日:2017-11-03

    申请人: Waymo LLC

    IPC分类号: B60W30/09 B60W30/095

    摘要: Aspects of the disclosure relate to detecting and responding to objects in a vehicle's environment. For example, an object may be identified in a vehicle's environment, the object having a heading and location. A set of possible actions for the object may be generated using map information describing the vehicle's environment and the heading and location of the object. A set of possible future trajectories of the object may be generated based on the set of possible actions. A likelihood value of each trajectory of the set of possible future trajectories may be determined based on contextual information including a status of the detected object. A final future trajectory is determined based on the determined likelihood value for each trajectory of the set of possible future trajectories. The vehicle is then maneuvered in order to avoid the final future trajectory and the object.