Changchun, China

Yunfeng Hu

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Jilin University. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yunfeng Hu. Retrieved from https://idiyas.com/inventor/yunfeng-hu-vpu36f4q

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Yunfeng Hu in Driving Behavior Modeling

Introduction

Yunfeng Hu is an accomplished inventor based in Changchun, China. He has made significant contributions to the field of driving behavior simulations. His innovative approach focuses on the integration of spatio-temporal information to enhance driving behavior modeling.

Latest Patents

Yunfeng Hu holds a patent titled "Method for driving behavior modeling based on spatio-temporal information fusion." This patent presents a method that constructs a driving behavior model incorporating a spatial information encoding network, a temporal information encoding network, a feature fusion network, and a feature decoding network. The model aims to determine a future trajectory sequence for a target main vehicle based on the trained driving behavior model, allowing for controlled travel according to predicted trajectories.

Career Highlights

Yunfeng Hu is affiliated with Jilin University, where he continues to advance research in driving behavior simulations. His work is pivotal in developing methods that improve the accuracy and reliability of driving behavior predictions.

Collaborations

Yunfeng Hu collaborates with notable colleagues, including Hong Chen and Huihua Gao. Their combined expertise contributes to the advancement of research in the field.

Conclusion

Yunfeng Hu's innovative work in driving behavior modeling showcases the potential of integrating spatio-temporal information to enhance simulations. His contributions are valuable to the ongoing development of intelligent driving systems.

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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