Feiyang He
Papers
1
Total Citations
31
H-Index
1
About
Feiyang He is a leading researcher in the field of robotic perception and sensor fusion, with a primary focus on the accurate calibration of heterogeneous sensor systems. His most cited work, "Accurate and Automatic Extrinsic Calibration for a Monocular Camera and Heterogenous 3D LiDARs" (2022, 31 citations), addresses a critical bottleneck in modern robotics: the seamless integration of portable cameras and diverse LiDARs for environment perception, path planning, and high-precision navigation. He’s major contribution lies in developing a fully automatic, high-precision method for determining the spatial transformation between these sensors, eliminating the need for manual or target-based calibration. This innovation directly enhances the reliability of autonomous systems by ensuring robust data fusion. With his work gaining traction in both academia and industry, He is establishing himself as a key figure in advancing practical, deployable solutions for autonomous navigation and 3D mapping.
Research Focus
Key Achievements
Top Papers
- 1