Chongqing, China

Yongkang Su

This inventor holds 1 USPTO granted patent. Top assignee: Chongqing University of Posts and Telecommunications. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yongkang Su. Retrieved from https://idiyas.com/inventor/yongkang-su

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

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Yongkang Su and Sensor Fusion for Intelligent Driving

Introduction

Yongkang Su is an inventor based in Chongqing, China. His patent work addresses sensor fusion for intelligent driving vehicles, combining information from millimeter-wave radar and laser radar to support vehicle tracking.

Latest Patents

The supplied information lists 1 patent for Yongkang Su: “Multi-sensor Fusion Method and System for Intelligent Driving Vehicles.” The invention describes a method that uses an extended target tracker based on a GM-PHD algorithm and a rectangular target model to process millimeter-wave radar detections. It also uses a bounding-box detector and a JPDA tracker equipped with an IMM-UKF to process laser-radar detections. The resulting radar tracks are converted in time and space to form a central fusion node, which an IMF algorithm processes to produce global track information.

Career Highlights

Su is associated with Chongqing University of Posts and Telecommunications. His listed patent focuses on integrating data from different sensing technologies to generate global tracking information for intelligent driving applications.

Collaborations

The supplied information identifies Junren Shi and Jun Gao as Su’s coworkers. Their specific roles in the patent or related work are not provided.

Conclusion

Yongkang Su’s listed invention combines millimeter-wave radar and laser-radar tracking through a multi-stage fusion process, reflecting a technical contribution to 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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