San Diego, CA, United States of America

Fangjun Zhang

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Fangjun Zhang: Innovator in Autonomous Driving Technology

Introduction

Fangjun Zhang is a prominent inventor based in San Diego, CA. He has made significant contributions to the field of autonomous driving technology. His innovative work focuses on enhancing the safety and reliability of autonomous vehicles through advanced perception systems.

Latest Patents

Fangjun Zhang holds 1 patent for his invention titled "Perception anomaly detection for autonomous driving." This patent describes a unified framework for detecting perception anomalies in autonomous driving systems. The 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 linked to unfamiliar changes in the environment. Finally, object anomalies pertain to unknown objects. After detecting these perception anomalies, the results are sent downstream to prompt a behavior change in the vehicle.

Career Highlights

Fangjun Zhang is currently employed at TuSimple, Inc., a company dedicated to advancing autonomous driving technology. His work at TuSimple has positioned him as a key player in the development of safer autonomous systems.

Collaborations

Fangjun collaborates with talented individuals in his field, including Long Sha and Junliang Zhang. Their combined expertise contributes to the innovative projects at TuSimple.

Conclusion

Fangjun Zhang's contributions to autonomous driving technology through his patent on perception anomaly detection exemplify his commitment to improving vehicle safety. His work continues to influence the future of autonomous systems.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…