US 12,233,914 B2
Automatic driving-based riding method, apparatus and device, and storage medium
Xin Zhang, Beijing (CN)
Assigned to BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD., Beijing (CN)
Appl. No. 17/796,074
Filed by BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD., Beijing (CN)
PCT Filed Jan. 30, 2022, PCT No. PCT/CN2022/075164
§ 371(c)(1), (2) Date Jul. 28, 2022,
PCT Pub. No. WO2022/257488, PCT Pub. Date Dec. 15, 2022.
Claims priority of application No. 202110643898.4 (CN), filed on Jun. 9, 2021.
Prior Publication US 2024/0166243 A1, May 23, 2024
Int. Cl. B60W 60/00 (2020.01)
CPC B60W 60/00253 (2020.02) [B60W 2420/403 (2013.01); B60W 2556/10 (2020.02); B60W 2556/40 (2020.02); B60W 2556/45 (2020.02)] 17 Claims
OG exemplary drawing
 
1. An automatic driving-based riding method, comprising:
selecting a target pick-up point for a target passenger from candidate pick-up points according to vehicle auxiliary information of the candidate pick-up points, wherein the vehicle auxiliary information of the candidate pick-up points comprises coordinate information and lane information of the candidate pick-up points; and
controlling an automatic driving vehicle to drive to the target pick-up point according to vehicle auxiliary information of the target pick-up point;
wherein before the selecting the target pick-up point for the target passenger from the candidate pick-up points, the method further comprises:
acquiring, in a non-automatic driving scene, coordinate information and semantic description information of a historical pick-up point of a historical passenger, and a movement track of the historical passenger before a riding;
correcting the coordinate information of the historical pick-up point according to the movement track, and determining the coordinate information and the lane information of the candidate pick-up points according to a corrected result; and
adjusting the semantic description information of the historical pick-up point according to the coordinate information of the candidate pick-up points to obtain semantic description information of the candidate pick-up points.