US 12,077,174 B2
Compensating mismatch in abnormal driving behavior detection
Seyhan Ucar, Mountain View, CA (US); Emrah Akin Sisbot, Menlo Park, CA (US); and Kentaro Oguchi, Mountain View, CA (US)
Assigned to Toyota Motor Engineering & Manufacturing North America, Inc., Plano, TX (US); and Toyota Jidosha Kabushiki Kaisha, Toyota (JP)
Filed by Toyota Motor Engineering & Manufacturing North America, Inc., Plano, TX (US)
Filed on Aug. 24, 2022, as Appl. No. 17/894,320.
Prior Publication US 2024/0067200 A1, Feb. 29, 2024
Int. Cl. B60W 50/14 (2020.01); B60K 35/00 (2006.01); B60W 40/02 (2006.01); B60W 40/08 (2012.01); B60K 35/28 (2024.01); B60K 35/29 (2024.01)
CPC B60W 50/14 (2013.01) [B60K 35/00 (2013.01); B60W 40/02 (2013.01); B60W 40/08 (2013.01); B60K 35/28 (2024.01); B60K 35/29 (2024.01); B60K 2360/178 (2024.01); B60K 2360/1868 (2024.01); B60W 2050/143 (2013.01); B60W 2050/146 (2013.01); B60W 2554/4046 (2020.02); B60W 2555/20 (2020.02)] 22 Claims
OG exemplary drawing
 
1. A method of compensating for mismatch in abnormal driving behavior detection between a human driver and an ego vehicle, the method comprising:
acquiring sensor data of a surrounding driving environment;
analyzing the acquired sensor data to detect an abnormal driving behavior by a vehicle in the surrounding driving environment;
responsive to detecting the abnormal driving behavior by the vehicle in the surrounding driving environment, classifying whether the abnormal driving behavior is severe; and
if the abnormal driving behavior is classified as being not severe, causing an amplified version of the abnormal driving behavior to be presented to the human driver of the ego vehicle.