This inventor holds 1 USPTO granted patent. Top assignee: Hunan University. Active years: 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: 2025
Title: Innovations of Jinghang Li in Time-to-Collision Estimation
Introduction
Jinghang Li is an accomplished inventor based in Hunan, China. He has made significant contributions to the field of autonomous driving through his innovative methods and technologies. His work focuses on enhancing the accuracy and efficiency of time-to-collision (TTC) estimations, which are crucial for the safety and reliability of autonomous vehicles.
Latest Patents
One of Jinghang Li's notable patents is the "Event camera-based time-to-collision estimation method, electronic device and storage medium." This patent addresses the challenges associated with traditional TTC estimation methods, which often suffer from significant delays. By utilizing a stream of events captured by an event camera, his method improves the accuracy and robustness of TTC estimations in real-time scenarios. The method is designed to operate with low energy consumption, making it suitable for embedded systems. The TTC output frequency can reach up to 200 Hz, showcasing its potential for real-time applications, especially in situations with sudden changes in relative speed.
Career Highlights
Jinghang Li is affiliated with Hunan University, where he continues to advance research in the field of autonomous driving technologies. His work has garnered attention for its practical applications and innovative approach to solving complex problems in vehicle safety.
Collaborations
Jinghang Li collaborates with esteemed colleagues such as Yi Zhou and Kaizhen Sun. Their combined expertise contributes to the development of cutting-edge technologies in the realm of autonomous systems.
Conclusion
Jinghang Li's contributions to time-to-collision estimation methods represent a significant advancement in autonomous driving technology. His innovative approach not only enhances safety but also paves the way for more efficient and reliable autonomous systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile