Beijing, China

Zhaokun Chen

This inventor holds 1 USPTO granted patent. Top assignee: Beijing Institute of Technology. Active years: 2025.


% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Zhaokun Chen: Innovator in Intelligent Vehicle Technology

Introduction

Zhaokun Chen is a prominent inventor based in Beijing, China. He has made significant contributions to the field of intelligent vehicles, particularly in recognizing driving styles through innovative methods and systems. His work is essential for advancing the technology that enhances vehicle intelligence and driver safety.

Latest Patents

Zhaokun Chen holds a patent for a "Method, system and apparatus for recognizing continuous driving style." This invention involves collecting multi-dimensional driving data from various drivers in daily scenarios. The method segments the driving data to obtain multiple driving segments and calculates statistical features for each segment. It reduces the dimensionality of these features to generate common factors, representing each segment with a driving word. Ultimately, the driving word sequence is input into a hierarchical latent model to determine the continuous driving style of the target driver.

Career Highlights

Zhaokun Chen is affiliated with the Beijing Institute of Technology, where he continues to push the boundaries of research in intelligent vehicle technology. His innovative approach has garnered attention in the field, making him a key figure in the development of advanced driving recognition systems.

Collaborations

Zhaokun Chen has collaborated with notable colleagues, including Chaopeng Zhang and Junqiang Xi. Their combined expertise contributes to the advancement of intelligent vehicle technologies and enhances the research output of their institution.

Conclusion

Zhaokun Chen's work in recognizing driving styles through innovative methods is paving the way for smarter and safer vehicles. His contributions are vital for the future of intelligent transportation systems.

Profile summary based on public USPTO records.
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