MULTI-SENSOR COLLABORATIVE CALIBRATION SYSTEM

    公开(公告)号:US20220155776A1

    公开(公告)日:2022-05-19

    申请号:US16953089

    申请日:2020-11-19

    Applicant: TUSIMPLE, INC.

    Abstract: Technique for performing multi-sensor collaborative calibration on a vehicle is disclosed. A method includes obtaining, from at least two sensors located on a vehicle, sensor data items of an area that comprises a plurality of calibration objects; determining, from the sensor data items, attributes of the plurality of calibration objects; determining, for the at least two sensors, an initial matrix that describes a first set of extrinsic parameters between the at least two sensors based at least on the attributes of the plurality of calibration objects; determining an updated matrix that describes a second set of extrinsic parameters between the at least two sensors based at least on the initial matrix and a location of at least one calibration object; and performing autonomous operation of the vehicle using the second set of extrinsic parameters and additional sensor data received from the at least two sensors.

    MULTI-SENSOR COLLABORATIVE CALIBRATION SYSTEM

    公开(公告)号:US20240241515A1

    公开(公告)日:2024-07-18

    申请号:US18621904

    申请日:2024-03-29

    Applicant: TUSIMPLE, INC.

    Abstract: Technique for performing multi-sensor collaborative calibration on a vehicle is disclosed. A method includes obtaining, from at least two sensors located on a vehicle, sensor data items of an area that comprises a plurality of calibration objects; determining, from the sensor data items, attributes of the plurality of calibration objects; determining, for the at least two sensors, an initial matrix that describes a first set of extrinsic parameters between the at least two sensors based at least on the attributes of the plurality of calibration objects; determining an updated matrix that describes a second set of extrinsic parameters between the at least two sensors based at least on the initial matrix and a location of at least one calibration object; and performing autonomous operation of the vehicle using the second set of extrinsic parameters and additional sensor data received from the at least two sensors.

    MULTI-SENSOR SEQUENTIAL CALIBRATION SYSTEM
    3.
    发明公开

    公开(公告)号:US20230356734A1

    公开(公告)日:2023-11-09

    申请号:US18349783

    申请日:2023-07-10

    Applicant: TUSIMPLE, INC.

    Abstract: Techniques for performing a sensor calibration using sequential data is disclosed. An example method includes receiving, from a first camera located on a vehicle, a first image comprising at least a portion of a road comprising lane markers, where the first image is obtained by the camera at a first time; obtaining a calculated value of a position of an inertial measurement (IM) device at the first time; obtaining an optimized first extrinsic matrix of the first camera by adjusting a function of a first actual pixel location of a location of a lane marker in the first image and an expected pixel location of the location of the lane marker; and performing autonomous operation of the vehicle using the optimized first extrinsic matrix of the first camera when the vehicle is operated on another road or at another time.

    MULTI-SENSOR SEQUENTIAL CALIBRATION SYSTEM

    公开(公告)号:US20220227380A1

    公开(公告)日:2022-07-21

    申请号:US17150271

    申请日:2021-01-15

    Applicant: TUSIMPLE, INC.

    Abstract: Techniques for performing a sensor calibration using sequential data is disclosed. An example method includes receiving, from a first camera located on a vehicle, a first image comprising at least a portion of a road comprising lane markers, where the first image is obtained by the camera at a first time; obtaining a calculated value of a position of an inertial measurement (IM) device at the first time; obtaining an optimized first extrinsic matrix of the first camera by adjusting a function of a first actual pixel location of a location of a lane marker in the first image and an expected pixel location of the location of the lane marker; and performing autonomous operation of the vehicle using the optimized first extrinsic matrix of the first camera when the vehicle is operated on another road or at another time.

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