Beijing, China

Zhenfeng Wang

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations of Zhenfeng Wang in Autonomous Vehicle Technology

Introduction

Zhenfeng Wang is a prominent inventor based in Beijing, China. He has made significant contributions to the field of autonomous vehicle technology. His innovative work focuses on enhancing the safety and efficiency of autonomous vehicles through advanced control systems.

Latest Patents

Zhenfeng Wang holds a patent for a "Method and system for integrated path planning and path tracking control of autonomous vehicle." This patent outlines a comprehensive approach to managing the path planning and tracking of autonomous vehicles. The method involves obtaining five input control variables and eleven system state variables at the current time. It constructs a vehicle path planning-tracking integrated state model based on these variables. The patent also details the use of elliptical envelope curves to determine the external contours of two autonomous vehicles, which aids in calculating the time to collision (TTC) between them. This innovative approach allows for effective collision avoidance in autonomous vehicles.

Career Highlights

Zhenfeng Wang is affiliated with the Beijing Institute of Technology, where he continues to advance research in autonomous systems. His work has garnered attention for its practical applications in real-world scenarios, particularly in enhancing the safety of autonomous vehicles.

Collaborations

Zhenfeng Wang collaborates with notable colleagues, including Yechen Qin and Yiwei Huang. Their combined expertise contributes to the development of cutting-edge technologies in the field of autonomous vehicles.

Conclusion

Zhenfeng Wang's contributions to autonomous vehicle technology through his innovative patent demonstrate his commitment to improving safety and efficiency in this rapidly evolving field. His work is paving the way for future advancements in autonomous systems.

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