US 12,358,536 B2
Systems and methods for estimating the origins of abnormal driving
Seyhan Ucar, Mountain View, CA (US); Haritha Muralidharan, Santa Clara, 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 Nov. 22, 2022, as Appl. No. 17/992,160.
Prior Publication US 2024/0166244 A1, May 23, 2024
Int. Cl. B60W 60/00 (2020.01); G06V 10/764 (2022.01); G06V 20/58 (2022.01)
CPC B60W 60/0027 (2020.02) [G06V 10/764 (2022.01); G06V 20/58 (2022.01); B60W 2554/4046 (2020.02); B60W 2554/80 (2020.02)] 20 Claims
OG exemplary drawing
 
1. A detection system comprising:
a processor; and
a memory storing instructions that, when executed by the processor, cause the processor to:
detect, using parallel computations, abnormal classifications associated with a subject vehicle and nearby vehicles according to driving patterns derived from observation data, the abnormal classifications being associated with exceeding a position range in the observation data;
estimate an origin of abnormal driving with happens-before analysis according to the abnormal classifications, and the abnormal driving is associated with deviations in a traffic flow associated with the subject vehicle and the nearby vehicles, and the happens-before analysis outputs interactions between the subject vehicle and the nearby vehicles by temporal organization of the abnormal classifications; and
control the subject vehicle using a driving command according to the origin.