SYSTEM AND METHOD FOR USING HUMAN DRIVING PATTERNS TO DETECT AND CORRECT ABNORMAL DRIVING BEHAVIORS OF AUTONOMOUS VEHICLES

    公开(公告)号:US20190001964A1

    公开(公告)日:2019-01-03

    申请号:US15640521

    申请日:2017-07-01

    Applicant: TuSimple

    Abstract: A system and method for using human driving patterns to detect and correct abnormal driving behaviors of autonomous vehicles are disclosed. A particular embodiment includes: generating data corresponding to a normal driving behavior safe zone; receiving a proposed vehicle control command; comparing the proposed vehicle control command with the normal driving behavior safe zone; and issuing a warning alert if the proposed vehicle control command is outside of the normal driving behavior safe zone. Another embodiment includes modifying the proposed vehicle control command to produce a modified and validated vehicle control command if the proposed vehicle control command is outside of the normal driving behavior safe zone.

    PERCEPTION SIMULATION FOR IMPROVED AUTONOMOUS VEHICLE CONTROL

    公开(公告)号:US20180336297A1

    公开(公告)日:2018-11-22

    申请号:US15598693

    申请日:2017-05-18

    Applicant: TuSimple

    CPC classification number: G01M17/00 B60W30/00

    Abstract: A system and method for real world autonomous vehicle perception simulation are disclosed. A particular embodiment includes: receiving perception data from a plurality of sensors of an autonomous vehicle; configuring the perception simulation operation based on a comparison of the perception data against ground truth data; generating simulated perception data by simulating errors related to the physical constraints of one or more of the plurality of sensors, and by simulating noise in data provided by a sensor processing module corresponding to one or more of the plurality of sensors; and providing the simulated perception data to a motion planning system for the autonomous vehicle.

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