Company Filing History:
Years Active: 2025
Title: Innovations by Yuelei Gao in Autonomous Driving Technology
Introduction
Yuelei Gao is a prominent inventor based in Beijing, China. He has made significant contributions to the field of autonomous driving technology. His innovative work focuses on improving vehicle safety and performance through advanced methods of determining road surface conditions.
Latest Patents
Yuelei Gao holds a patent for a "Method and apparatus for determining road surface adhesion coefficient, and autonomous driving vehicle." This patent describes a method that includes determining, based on M state parameters of a vehicle on a target road section, M road surface adhesion coefficient estimation results. The method further involves selecting N road surface adhesion coefficient estimation results according to the vehicle's traveling work condition and determining a road surface adhesion coefficient based on these results. This innovation is crucial for enhancing the reliability of autonomous vehicles in varying road conditions.
Career Highlights
Yuelei Gao is currently associated with Apollo Intelligent Driving Technology (Beijing) Co., Ltd. His work at this company emphasizes the development of intelligent driving solutions that leverage cutting-edge technology to improve road safety and vehicle performance. His expertise in the field has positioned him as a key player in the advancement of autonomous driving systems.
Collaborations
Yuelei Gao collaborates with notable colleagues, including Yun Zhao and Zhihua Yu. Their combined efforts contribute to the innovative projects at Apollo Intelligent Driving Technology, fostering a collaborative environment that drives technological advancements.
Conclusion
Yuelei Gao's contributions to autonomous driving technology through his patent and work at Apollo Intelligent Driving Technology highlight his role as an influential inventor in the field. His innovative methods for determining road surface conditions are essential for the future of safe and reliable autonomous vehicles.