This inventor holds 2 USPTO granted patents and 1 published patent application and 2 EPO patents. Top assignees: Huawei Technologies Co., Limited, Shenzhen Yinwang Intelligent Technologies Co., Ltd.. Active years: 2022-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2022-2025
Title: Minzhen Li: Innovator in Autonomous Driving Technologies
Introduction
Minzhen Li is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of autonomous driving through his innovative patents. With a total of 2 patents, his work focuses on enhancing the safety and efficiency of autonomous vehicles.
Latest Patents
Minzhen Li's latest patents include a "Map construction method for autonomous driving and related apparatus." This method involves obtaining road, intersection, and lane information based on manual driving track data and obstacle grid maps. It also includes generating a virtual topology center line to create an autonomous driving map of the traveled region. Another notable patent is the "Positioning method and electronic device," which calculates road features using radar data to correct positioning coordinates for terminal devices.
Career Highlights
Throughout his career, Minzhen Li has worked with leading technology companies, including Huawei Technologies Co., Limited and Shenzhen Yinwang Intelligent Technologies Co., Ltd. His experience in these organizations has allowed him to develop cutting-edge technologies in the field of autonomous driving.
Collaborations
Minzhen Li has collaborated with notable professionals in the industry, including Lei Ma and Jun Wang. These collaborations have contributed to the advancement of his innovative projects and patents.
Conclusion
Minzhen Li is a key figure in the development of autonomous driving technologies, with a focus on improving navigation and positioning methods. His contributions are paving the way for safer and more efficient autonomous vehicles in the future.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile