Jun Gao

Title: Jun Gao and Sensor Fusion for Intelligent Driving

Introduction

Jun Gao is an inventor based in Chongqing, China, whose patent work addresses sensor fusion for intelligent driving vehicles. He is associated with Chongqing University of Posts and Telecommunications.

Latest Patents

Gao’s listed patent is “Multi-sensor fusion method and system for intelligent driving vehicles.” It describes a method for combining information from millimeter-wave radar and laser radar to track detected objects and produce global track information.

The method uses an extended target tracker based on a GM-PHD algorithm and a rectangular target model to process millimeter-wave radar detections. For laser-radar detections, it uses a bounding-box detector and a JPDA tracker equipped with an IMM-UKF. The resulting radar tracks undergo time-space conversion to form a central fusion node, which is then processed with an IMF algorithm to generate global track information.

The supplied information lists 1 patent for Gao.

Career Highlights

Gao’s listed invention focuses on integrating data from different sensing technologies to support object tracking in intelligent driving vehicles. His affiliation with Chongqing University of Posts and Telecommunications connects this work with an academic institution.

Collaborations

Junren Shi and Changhao Piao are identified as Gao’s coworkers. The supplied information does not specify their roles in the patent.

Conclusion

Jun Gao’s listed patent presents a multi-sensor approach to tracking objects for intelligent driving by combining millimeter-wave radar and laser-radar information.