Ching-Yin Lee
Papers
1
Total Citations
7
H-Index
1
About
Dr. Ching-Yin Lee is a leading researcher in sensor fusion and autonomous systems, with a particular focus on the calibration of 2D cameras and 3D LiDAR sensors—a critical challenge for robotics and self-driving vehicles. Their most cited work, "Online Recalibration of a Camera and Lidar System" (2018, 7 citations), addresses a key limitation in existing calibration methods: the reliance on offline checkerboard-based techniques that fail under real-world dynamic conditions. Dr. Lee’s major contribution lies in developing an online recalibration framework that enables continuous, automatic adjustment of sensor pose during operation, significantly improving system robustness and accuracy. This innovation directly enhances the reliability of autonomous navigation and perception in changing environments. While their citation count is modest, the work’s practical relevance to industry and academia is underscored by its focus on solving a persistent bottleneck in sensor fusion. Dr. Lee’s research is foundational for engineers and researchers advancing real-time autonomous systems, offering a scalable solution that bridges the gap between laboratory calibration and field deployment.
Research Focus
Key Achievements
Top Papers
- 1Online Recalibration of a Camera and Lidar System7 citations · 2018