This inventor holds 1 USPTO granted patent. Top assignee: Beihang University. Active years: 2022.
Company Filing History:
Years Active: 2022
Title: Innovations of Rentao Sun in Target Detection Technology
Introduction
Rentao Sun 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 accuracy.
Latest Patents
Rentao Sun 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 feature is then input into a detection network to generate category and position information of a target in a scenario. This patent showcases his innovative approach to improving target detection systems.
Career Highlights
Rentao Sun is affiliated with Beihang University, where he continues to advance research in his field. His work has garnered attention for its practical applications in various industries, particularly in autonomous vehicles and surveillance systems.
Collaborations
He collaborates with notable colleagues, including Xinyu Zhang and Li Wang, who contribute to his research endeavors. Their combined expertise enhances the development of innovative solutions in target detection technology.
Conclusion
Rentao Sun's contributions to target detection technology exemplify the intersection of engineering and innovation. His patent reflects a significant advancement in the field, showcasing the potential for improved detection systems in real-world applications.