Beijing, China

Yilong Ren

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Beihang University. Active years: 2022.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Yilong Ren: Innovator in Target Detection Technology

Introduction

Yilong Ren is a prominent inventor based in Beijing, China. He has made significant contributions to the field of target detection technology. His innovative approach combines millimeter-wave radar and visual features to enhance detection capabilities.

Latest Patents

Yilong Ren holds a patent for a "Target detection method based on fusion of prior positioning of millimeter-wave radar and visual feature." This method involves several key steps. It includes simultaneously obtaining point cloud data from a millimeter-wave radar and a vehicle-mounted camera after calibration. The process also involves performing spatial 3D coordinate transformation on the point cloud data to project it onto a camera plane. Furthermore, it generates multiple anchor samples based on the projected data and fuses RGB information from the camera image with intensity information from the point cloud data. The final anchor sample is then input into a detection network to generate category and position information of a target in a scenario. Yilong Ren has 1 patent to his name.

Career Highlights

Yilong Ren is affiliated with Beihang University, where he continues to advance his research in target detection technologies. His work has garnered attention for its practical applications in various fields, including autonomous vehicles and surveillance systems.

Collaborations

Yilong Ren collaborates with notable colleagues such as Xinyu Zhang and Li Wang. Their combined expertise contributes to the development of innovative solutions in their research endeavors.

Conclusion

Yilong Ren's contributions to target detection technology exemplify the impact of innovative thinking in engineering. His work not only enhances detection methods but also paves the way for future advancements in the field.

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