Map consistency checker
    2.
    发明授权

    公开(公告)号:US11472442B2

    公开(公告)日:2022-10-18

    申请号:US16856826

    申请日:2020-04-23

    Applicant: Zoox, Inc.

    Abstract: Techniques relating to monitoring map consistency are described. In an example, a monitoring component associated with a vehicle can receive sensor data associated with an environment in which the vehicle is positioned. The monitoring component can generate, based at least in part on the sensor data, an estimated map of the environment, wherein the estimated map is encoded with policy information for driving within the environment. The monitoring component can then compare first information associated with a stored map of the environment with second information associated with the estimated map to determine whether the estimated map and the stored map are consistent. Component(s) associated with the vehicle can then control the object based at least in part on results of the comparing.

    MAP CONSISTENCY CHECKER
    3.
    发明申请

    公开(公告)号:US20210331703A1

    公开(公告)日:2021-10-28

    申请号:US16856826

    申请日:2020-04-23

    Applicant: Zoox, Inc.

    Abstract: Techniques relating to monitoring map consistency are described. In an example, a monitoring component associated with a vehicle can receive sensor data associated with an environment in which the vehicle is positioned. The monitoring component can generate, based at least in part on the sensor data, an estimated map of the environment, wherein the estimated map is encoded with policy information for driving within the environment. The monitoring component can then compare first information associated with a stored map of the environment with second information associated with the estimated map to determine whether the estimated map and the stored map are consistent. Component(s) associated with the vehicle can then control the object based at least in part on results of the comparing.

    VELOCITY REGRESSION SAFETY SYSTEM

    公开(公告)号:US20220363247A1

    公开(公告)日:2022-11-17

    申请号:US17246412

    申请日:2021-04-30

    Applicant: Zoox, Inc.

    Abstract: Techniques for accurately predicting and avoiding collisions with objects detected in an environment of a vehicle are discussed herein. A vehicle safety system can implement a model to output data indicating an intersection probability between the object and a portion of the vehicle in the future. The model may employ a rear collision filter, a distance filter, and a time to stop filter to determine whether a predicted collision may be a false positive, in which case the techniques may include refraining from reporting such predicted collision to other another vehicle computing device to control the vehicle.

    Verifying reliability of data used for autonomous driving

    公开(公告)号:US12209869B2

    公开(公告)日:2025-01-28

    申请号:US17227002

    申请日:2021-04-09

    Applicant: Zoox, Inc.

    Abstract: Techniques for verifying a reliability of map data are discussed herein. In some examples, map data can be used by a vehicle, such as an autonomous vehicle, to traverse an environment. Sensor data (e.g., image data, lidar data, etc.) can be received from a sensor associated with a vehicle and may be used to generate an estimated map and confidence values associated with the estimated map. When the sensor data is image data, images data from multiple perspectives or different time instances may be combined to generate the estimated map. The estimated map may be compared to a stored map or to a proposed vehicle trajectory or corridor to determine a reliability of the stored map data.

    VERIFYING RELIABILITY OF DATA USED FOR AUTONOMOUS DRIVING

    公开(公告)号:US20220326023A1

    公开(公告)日:2022-10-13

    申请号:US17227002

    申请日:2021-04-09

    Applicant: Zoox, Inc.

    Abstract: Techniques for verifying a reliability of map data are discussed herein. In some examples, map data can be used by a vehicle, such as an autonomous vehicle, to traverse an environment. Sensor data (e.g., image data, lidar data, etc.) can be received from a sensor associated with a vehicle and may be used to generate an estimated map and confidence values associated with the estimated map. When the sensor data is image data, images data from multiple perspectives or different time instances may be combined to generate the estimated map. The estimated map may be compared to a stored map or to a proposed vehicle trajectory or corridor to determine a reliability of the stored map data.

    MAP CONSISTENCY CHECKER
    8.
    发明申请

    公开(公告)号:US20230100014A1

    公开(公告)日:2023-03-30

    申请号:US17966037

    申请日:2022-10-14

    Applicant: Zoox, Inc.

    Abstract: Techniques relating to monitoring map consistency are described. In an example, a monitoring component associated with a vehicle can receive sensor data associated with an environment in which the vehicle is positioned. The monitoring component can generate, based at least in part on the sensor data, an estimated map of the environment, wherein the estimated map is encoded with policy information for driving within the environment. The monitoring component can then compare first information associated with a stored map of the environment with second information associated with the estimated map to determine whether the estimated map and the stored map are consistent. Component(s) associated with the vehicle can then control the object based at least in part on results of the comparing.

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