Hunan, China

Bangyan Liao

This inventor holds 1 USPTO granted patent. Top assignee: Hunan University. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Bangyan Liao. Retrieved from https://idiyas.com/inventor/bangyan-liao

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Bangyan Liao: Innovator in Time-to-Collision Estimation

Introduction

Bangyan Liao is a prominent inventor based in Hunan, China. He has made significant contributions to the field of autonomous driving technology. His innovative work focuses on improving the accuracy and efficiency of time-to-collision estimation methods.

Latest Patents

Liao holds a patent for an "Event camera-based time-to-collision estimation method, electronic device and storage medium." This patent addresses the challenges of large delays in prior art by utilizing a stream of events acquired from an event camera. The method enhances the accuracy and robustness of time-to-collision estimations in autonomous driving scenarios. Additionally, it features low energy consumption, making it suitable for embedded applications. The method can achieve a time-to-collision output frequency of up to 200 Hz, showcasing its potential for real-time applications.

Career Highlights

Bangyan Liao is affiliated with Hunan University, where he continues to advance research in autonomous driving technologies. His work has garnered attention for its practical applications and innovative approach to solving existing problems in the field.

Collaborations

Liao collaborates with notable colleagues, including Yi Zhou and Kaizhen Sun. Their combined expertise contributes to the development of cutting-edge technologies in their research endeavors.

Conclusion

Bangyan Liao's contributions to time-to-collision estimation methods represent a significant advancement in autonomous driving technology. His innovative approach and dedication to research continue to pave the way for future developments in this critical field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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