Chien-Hung Yu

Title: Innovations of Chien-Hung Yu in Autonomous Vehicle Technology

Introduction

Chien-Hung Yu is a notable inventor based in Lugong, Taiwan, recognized for his contributions to the field of autonomous vehicle technology. With a total of four patents to his name, Yu has been instrumental in developing methods that enhance the functionality and safety of self-driving vehicles.

Latest Patents

One of Yu's latest patents is titled "Vehicle positioning method via data fusion and system using the same." This innovative method involves a processor that is electrically connected to a self-driving vehicle controller and multiple electronic systems. The process includes performing a delay correction based on real-time coordinates, lane recognition data, and various vehicle dynamic parameters. The outcome is a fusion positioning coordinate that aids in the self-driving operation of the vehicle.

Another significant patent is the "Method and system for controlling movements of an autonomous vehicle with self-diagnosis capability." This method estimates tire force margins and dynamic chassis margins to determine the vehicle's ability to move according to a decision command. If the vehicle is unable to comply, it requests an update to the command and calculates marginal actuating signals to ensure proper movement.

Career Highlights

Chien-Hung Yu works at the Automotive Research & Testing Center, where he applies his expertise in developing advanced technologies for autonomous vehicles. His work focuses on enhancing vehicle positioning and control systems, which are crucial for the safe operation of self-driving cars.

Collaborations

Yu collaborates with talented individuals such as Jin-Yan Hsu and Tong-Kai Jhang, contributing to the innovative projects at the Automotive Research & Testing Center. Their combined efforts aim to push the boundaries of autonomous vehicle technology.

Conclusion

Chien-Hung Yu's innovative patents and contributions to autonomous vehicle technology highlight his significant role in advancing this field. His work not only enhances vehicle safety but also paves the way for the future of self-driving cars.