US 12,498,469 B2
Cloud based scanning for detection of sensors malfunction for autonomous vehicles
Tianjia Sun, Sunnyvale, CA (US); Weiliang Sun, Beijing (CN); Yaoming Shen, Sunnyvale, CA (US); Shuli Yin, Beijing (CN); and Baoping Yuan, Sunnyvale, CA (US)
Assigned to BAIDU USA LLC, Sunnyvale, CA (US); and APOLLO INTELLIGENT DRIVING TECHNOLOGY (BEIJING) CO., LTD., Beijing (CN)
Appl. No. 18/000,310
Filed by Baidu USA LLC, Sunnyvale, CA (US); and APOLLO INTELLIGENT DRIVING TECHNOLOGY (BEIJING) CO., LTD., Beijing (CN)
PCT Filed Sep. 27, 2022, PCT No. PCT/CN2022/121713
§ 371(c)(1), (2) Date Nov. 30, 2022,
PCT Pub. No. WO2024/065173, PCT Pub. Date Apr. 4, 2024.
Prior Publication US 2024/0353545 A1, Oct. 24, 2024
Int. Cl. G01S 7/497 (2006.01); B60W 60/00 (2020.01); G01S 17/931 (2020.01)
CPC G01S 7/497 (2013.01) [B60W 60/001 (2020.02); G01S 17/931 (2020.01); B60W 2420/408 (2024.01); B60W 2556/45 (2020.02)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
receiving, by a processor, first point cloud data generated by a first scanner device of a first autonomous driving vehicle (ADV);
applying one or more abnormality detection algorithms to the first point cloud data to determine an abnormality in the first point cloud data;
determining an abnormality type for the abnormality;
determining the abnormality is above a severity threshold based on the abnormality type;
in response to determining that the abnormality is above the severity threshold, transmitting, by the processor, a warning to inspect the first scanner device for any hardware malfunctions; and
transmitting a signal to control operating the ADV.