Beijing, China

Ruosen Hao

This inventor holds 1 USPTO granted patent. Top assignee: Beijing University of Chemical Tehcnology. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ruosen Hao. Retrieved from https://idiyas.com/inventor/ruosen-hao

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 10.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Ruosen Hao - Innovator in Intelligent Vehicle Localization

Introduction

Ruosen Hao is a prominent inventor based in Beijing, China. He has made significant contributions to the field of intelligent vehicle technology. His innovative work focuses on enhancing the localization of intelligent vehicles in dynamic environments.

Latest Patents

Ruosen Hao holds a patent for a "Method and apparatus for localizing intelligent vehicle in dynamic scene." This patent describes a comprehensive method that includes processing RGB images to identify movable objects, converting point cloud data into different coordinate systems, and determining the pose information of intelligent vehicles in real-time. His invention aims to improve the accuracy and efficiency of vehicle localization in complex scenarios.

Career Highlights

Ruosen Hao is affiliated with the Beijing University of Chemical Technology. His role at the university allows him to engage in cutting-edge research and development in the field of intelligent vehicles. His work has garnered attention for its practical applications in enhancing vehicle navigation systems.

Collaborations

Ruosen Hao collaborates with notable colleagues, including Wei Zhang and Zhiwei Li. Their combined expertise contributes to advancing research in intelligent vehicle technologies.

Conclusion

Ruosen Hao's innovative contributions to intelligent vehicle localization demonstrate his commitment to advancing technology in this critical field. His work not only enhances vehicle navigation but also paves the way for future developments in intelligent transportation 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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