Automatic labeling of objects in sensor data

    公开(公告)号:US11481579B2

    公开(公告)日:2022-10-25

    申请号:US16833018

    申请日:2020-03-27

    Applicant: Waymo LLC

    Abstract: Aspects of the disclosure provide for automatically generating labels for sensor data. For instance first sensor data for a first vehicle is identified. The first sensor data is defined in both a global coordinate system and a local coordinate system for the first vehicle. A second vehicle is identified based on a second location of the second vehicle within a threshold distance of the first vehicle within the first timeframe. The second vehicle is associated with second sensor data that is further associated with a label identifying a location of an object, and the location of the object is defined in a local coordinate system of the second vehicle. A conversion from the local coordinate system of the second vehicle to the local coordinate system of the first vehicle may be determined and used to transfer the label from the second sensor data to the first sensor data.

    AUTOMATIC LABELING OF OBJECTS IN SENSOR DATA

    公开(公告)号:US20230019893A1

    公开(公告)日:2023-01-19

    申请号:US17947563

    申请日:2022-09-19

    Applicant: Waymo LLC

    Abstract: Aspects of the disclosure provide for automatically generating labels for sensor data. For instance first sensor data for a first vehicle is identified. The first sensor data is defined in both a global coordinate system and a local coordinate system for the first vehicle. A second vehicle is identified based on a second location of the second vehicle within a threshold distance of the first vehicle within the first timeframe. The second vehicle is associated with second sensor data that is further associated with a label identifying a location of an object, and the location of the object is defined in a local coordinate system of the second vehicle. A conversion from the local coordinate system of the second vehicle to the local coordinate system of the first vehicle may be determined and used to transfer the label from the second sensor data to the first sensor data.

    OBJECT LABELING FOR THREE-DIMENSIONAL DATA
    3.
    发明公开

    公开(公告)号:US20230377164A1

    公开(公告)日:2023-11-23

    申请号:US17748460

    申请日:2022-05-19

    Applicant: Waymo LLC

    Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for generating label data for one or more target objects in an environment. The system obtains first data characterizing the environment, wherein the first data includes position data characterizing a position of the target object. The system obtains second data including one or more three-dimensional (3D) frames characterizing the environment. The system determines, based on the first data, a guide feature for locating the target object in the 3D frames of the second data. The system receives a first user input that specifies at least an object position in the selected 3D frame, and generates label data for the target object based on the first user input.

    Automatic labeling of objects in sensor data

    公开(公告)号:US12159451B2

    公开(公告)日:2024-12-03

    申请号:US17947563

    申请日:2022-09-19

    Applicant: Waymo LLC

    Abstract: Aspects of the disclosure provide for automatically generating labels for sensor data. For instance first sensor data for a first vehicle is identified. The first sensor data is defined in both a global coordinate system and a local coordinate system for the first vehicle. A second vehicle is identified based on a second location of the second vehicle within a threshold distance of the first vehicle within the first timeframe. The second vehicle is associated with second sensor data that is further associated with a label identifying a location of an object, and the location of the object is defined in a local coordinate system of the second vehicle. A conversion from the local coordinate system of the second vehicle to the local coordinate system of the first vehicle may be determined and used to transfer the label from the second sensor data to the first sensor data.

    AUTOMATIC LABELING OF OBJECTS IN SENSOR DATA

    公开(公告)号:US20210150280A1

    公开(公告)日:2021-05-20

    申请号:US16833018

    申请日:2020-03-27

    Applicant: Waymo LLC

    Abstract: Aspects of the disclosure provide for automatically generating labels for sensor data. For instance first sensor data for a first vehicle is identified. The first sensor data is defined in both a global coordinate system and a local coordinate system for the first vehicle. A second vehicle is identified based on a second location of the second vehicle within a threshold distance of the first vehicle within the first timeframe. The second vehicle is associated with second sensor data that is further associated with a label identifying a location of an object, and the location of the object is defined in a local coordinate system of the second vehicle. A conversion from the local coordinate system of the second vehicle to the local coordinate system of the first vehicle may be determined and used to transfer the label from the second sensor data to the first sensor data.

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