INTEGRATED MULTI-PURPOSE PERCEPTION HOUSING

    公开(公告)号:US20220111801A1

    公开(公告)日:2022-04-14

    申请号:US17556717

    申请日:2021-12-20

    Applicant: TuSimple, Inc.

    Abstract: An integrated housing assembly can be mounted on a roof of a vehicle, such as a semi-trailer truck. The integrated housing assembly includes a main enclosure that includes four sides, a top panel, and a bottom panel. One of the four sides is a front panel that is inclined towards the ground. The main enclosure includes one or more cavities. A front panel of the integrated housing assembly includes one or more openings to allow cameras or sensors to be placed within the one or more cavities and behind the one or more opening. The cameras or sensors cameras can be clamped at a downward angle within multiple lock apparatus. The angled front panel and the inclined cameras or sensors within the lock apparatus allow the cameras or sensors to obtain images or sensor data from one or more regions of interest at some distance from the front of the vehicle.

    Techniques to compensate for movement of sensors in a vehicle

    公开(公告)号:US10798303B1

    公开(公告)日:2020-10-06

    申请号:US16565331

    申请日:2019-09-09

    Applicant: TuSimple, Inc.

    Abstract: Techniques are described for compensating for movements of sensors on a vehicle. A method includes receiving two sets of sensor data from two sets of sensors, where a first set of sensors are located on a roof of a cab of the semi-trailer truck and a second set of sensor data are located on a hood of the semi-trailer truck. The method also receives from a height sensor a measured value indicative of a height of the rear of a rear portion of the cab of the semi-trailer truck relative to a chassis of the semi-trailer truck, determines two correction values, one for each of the two sets of sensor data, and compensates for the movement of the two sets of sensors by generating two sets of compensated sensor data. The two sets of compensated sensor data are generated by adjusting the two sets of sensor data based on the two correction values.

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