Tusimple, Inc.

Fangjun Zhang

Panqu Wang

Xiangchen Zhao

Long Sha

Rundong Ge

Yizhe Zhao

Junliang Zhang

A unified framework for detecting perception anomalies in autonomous driving systems is described. The perception anomaly detection framework takes an input image from a camera in or on a vehicle and identifies anomalies as belonging to one of three categories. Lens anomalies are associated with poor sensor conditions, such as water, dirt, or overexposure. Environment anomalies are associated with unfamiliar changes to an environment. Finally, object anomalies are associated with unknown objects. After perception anomalies are detected, the results are sent downstream to cause a behavior change of the vehicle.

Growing community of inventors

San Diego, CA, United States of America

Fangjun Zhang