This inventor holds 1 USPTO granted patent. Top assignee: Baidu Online Network Technology (Beijing) Co., Ltd.. Active years: 2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021
Title: The Innovative Mind of Ming Li
Introduction
Ming Li is a prominent inventor based in Beijing, China. He has made significant contributions to the field of technology, particularly in the area of autonomous vehicles. His innovative approach to problem-solving has led to the development of a unique patent that enhances traffic management systems.
Latest Patents
Ming Li holds a patent for a "Traffic light state recognizing method and apparatus, computer device and readable medium." This method involves obtaining a first image collected by a long-focus camera and a second image collected by a short-focus camera. It also utilizes positioning information and the traveling direction of an autonomous vehicle collected by a positioning sensor at a target moment. By leveraging high-precision map servers, the method recognizes the state of traffic lights, thereby improving the functionality of autonomous vehicles.
Career Highlights
Ming Li is currently employed at Baidu Online Network Technology (Beijing) Co., Ltd. His work at Baidu has allowed him to collaborate with leading experts in the field, further enhancing his innovative capabilities. His dedication to advancing technology has positioned him as a key player in the development of intelligent transportation systems.
Collaborations
Ming Li has worked alongside talented colleagues such as Yuqiang Zhai and Tian Xia. Their collaborative efforts have contributed to the successful development of cutting-edge technologies in the realm of autonomous driving.
Conclusion
Ming Li's contributions to the field of technology, particularly through his patent on traffic light recognition, showcase his innovative spirit and commitment to improving autonomous vehicle systems. His work continues to influence the future of transportation technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
