AUTONOMOUS VEHICLE CHASSIS FRAME ESTIMATION BY MINIMIZING DISTORTION FROM CAD MODEL

    公开(公告)号:US20240010213A1

    公开(公告)日:2024-01-11

    申请号:US17858831

    申请日:2022-07-06

    CPC classification number: B60W50/06 B60W60/001

    Abstract: The subject disclosure relates to estimating a chassis frame of an autonomous vehicle. A process of the disclosed technology can include receiving a position for each of a plurality of sensors on an autonomous vehicle, determining an ideal chassis point in relation to a constellation of model sensors in a CAD model associated with the autonomous vehicle, generating a constellation of the plurality of sensors based on the positions of the plurality of sensors in relation to the ideal chassis point, minimizing distortion between measured values associated with the constellation of the plurality of sensors and ideal values associated with the constellation of model sensors, determining an estimated real chassis point based on the minimized distortion between the measured values and the ideal values, and calibrating at least one of the plurality of sensors based on the estimated real chassis point.

    VEHICLE SENSOR CALIBRATION USING SENSOR CALIBRATION TARGETS

    公开(公告)号:US20210004985A1

    公开(公告)日:2021-01-07

    申请号:US17022355

    申请日:2020-09-16

    Abstract: Sensors coupled to a vehicle are calibrated using a dynamic scene with sensor targets around a motorized turntable that rotates the vehicle to different orientations. The sensors capture data at each vehicle orientation along the rotation. The vehicle's computer identifies representations of the sensor targets within the data captured by the sensors, and calibrates the sensor based on these representations, for example by comparing these representations to previously stored information about the sensor targets and generating a correction based on differences, the correction applied to post-calibration sensor data.

    MULTIPLE SENSOR CALIBRATION IN AUTONOMOUS VEHICLES PERFORMED IN AN UNDEFINED ENVIRONMENT

    公开(公告)号:US20240012106A1

    公开(公告)日:2024-01-11

    申请号:US17859067

    申请日:2022-07-07

    Abstract: The subject technology is related to autonomous vehicles (AV) and, in particular, to calibration of an sensors of an AV on open roads after calibrating the sensors in an undefined training area. An example method includes calibrating a plurality of sensors of the AV based on performing a plurality of training steps of increasing complexity within the undefined environment, wherein the plurality of sensors of the AV are uncalibrated with respect to each other, determining that the AV satisfies an open road requirement to navigate an open road based on completing the plurality of training steps in the undefined environment, and operating the AV on open roads subject to at least one constraint. The method of claim 1, wherein the at least one constraint comprises a list of prohibited maneuvers that limit operation of the AV on open roads. The constraints are configured to dynamically change.

    MULTIPLE SENSOR CALIBRATION IN AUTONOMOUS VEHICLES PERFORMED IN AN UNDEFINED ENVIRONMENT

    公开(公告)号:US20240010223A1

    公开(公告)日:2024-01-11

    申请号:US17859058

    申请日:2022-07-07

    CPC classification number: B60W60/001 B60W2420/52 B60W2554/4041

    Abstract: The subject technology is related to autonomous vehicles (AV) and, in particular, to calibrating multiple sensors of an AV in an undefined training area. An example method includes instructing the AV to pilot itself in an undefined training area subject to at least one constraint, wherein the AV is instructed to pilot itself along a path until the AV has overlapped at least a portion of the path, and at a location at which the AV has overlapped at least the portion of the path, determining that first returns from a previous LIDAR scan overlaps with second returns from a subsequent LIDAR scan taken when the AV has overlapped at least the portion of the path. Initially, the AV does not include a location reference to identify locations of objects in the undefined training area and a plurality of sensors of the AV are uncalibrated with respect to each other.

Patent Agency Ranking