AUTONOMOUS DRIVING METHOD ADAPTED FOR RECOGNITION FAILURE OF ROAD LINE AND METHOD OF BUILDING DRIVING GUIDE DATA

    公开(公告)号:US20200166951A1

    公开(公告)日:2020-05-28

    申请号:US16684898

    申请日:2019-11-15

    Inventor: Doo Seop CHOI

    Abstract: An autonomous driving method includes (a) setting a global driving plan of determining a plurality of global node points for which at least one driving route change of a left turn, a right turn, or a U-turn to a destination is needed and establishing a driving plan for a route change at each of the global node points; (b) recognizing road lines and nearby obstacles and performing autonomous driving using information of the recognized road lines and nearby obstacles; and (c) when recognition of the information of the road lines fails, receiving driving guide data of a road segment ahead from the outside through wireless communication, recognizing nearby obstacles, and performing autonomous driving on the road segment in consideration of the driving guide data and information of the recognized nearby obstacle.

    APPARATUS FOR AUTONOMOUS DRIVING AND METHOD AND SYSTEM FOR CALIBRATING SENSOR THEREOF

    公开(公告)号:US20210174547A1

    公开(公告)日:2021-06-10

    申请号:US17110853

    申请日:2020-12-03

    Abstract: The autonomous driving device including a communication circuit configured to communicate with an unmanned aerial vehicle, a plurality of sensors disposed in the autonomous vehicle to monitor all directions of the autonomous vehicle, and a processor, wherein the processor is configured to: control the unmanned aerial vehicle to hover at each of a plurality of waypoints of a designated flight path by controlling a relative position of the unmanned aerial vehicle through the communication circuit, change a posture angle of the unmanned aerial vehicle to a plurality of posture angles corresponding to the waypoints of the flight path, generate a plurality of images including the checkerboard and corresponding to the plurality of waypoints and the plurality of posture angles through the plurality of sensors, and calibrate the plurality of sensors on the basis of a relationship between matching points of the plurality of images.

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