Wenzheng Fan
Papers
1
Total Citations
15
H-Index
1
About
Dr. Wenzheng Fan is a leading researcher in autonomous systems and 3D perception, with a primary focus on multi-sensor calibration and LiDAR-based mapping. His most cited work, "Automatic Extrinsic Calibration of Dual LiDARs With Adaptive Surface Normal Estimation" (2022), addresses a critical bottleneck in robotics and autonomous navigation: the precise alignment of multiple LiDAR sensors. By introducing an adaptive surface normal estimation technique, Dr. Fan’s method achieves robust, fully automatic calibration without requiring specialized targets or manual intervention—a significant advance for mobile mapping, field robotics, and autonomous vehicles. This contribution has already garnered 15 citations, reflecting its immediate relevance to practitioners deploying multi-LiDAR systems. Beyond calibration, his research spans point cloud registration, sensor fusion, and real-time 3D reconstruction, with applications in both indoor and outdoor environments. Dr. Fan’s work is notable for its practical, deployable solutions that bridge the gap between theoretical algorithms and real-world sensor integration challenges. For students and researchers entering the field of autonomous perception, his publications offer a clear, rigorous foundation for understanding how to achieve reliable, high-accuracy spatial awareness in complex, multi-sensor platforms.
Research Focus
Key Achievements
Top Papers
- 1