Papers
1
Total Citations
18
H-Index
1
About
Buwei He is a robotics researcher whose work centers on 3D mapping, sensor fusion, and autonomous perception. His major contribution is the development of a coarse-to-fine hybrid 3D mapping system that integrates a non-repetitive LiDAR with an omnidirectional camera, achieving a full 360-degree field-of-view. He proposed an automatic, targetless co-calibration method that leverages the unique scanning pattern of the LiDAR, solving a critical challenge in multi-sensor alignment. This innovation enables more robust and accurate environmental reconstruction for mobile robots. His most-cited paper (2023, 18 citations) has already influenced the field of real-time 3D mapping, demonstrating the practical value of combining heterogeneous sensors. He’s also contributed to improving localization and mapping in complex, unstructured environments. With a growing citation record and a focus on practical, deployable systems, Buwei He is establishing himself as a rising figure in robotic perception and sensor integration.
Research Focus
Key Achievements
Top Papers
- 1