Feiyue Chen
Papers
1
Total Citations
5
H-Index
1
About
Feiyue Chen is a leading researcher in optical engineering, with a primary focus on lidar system design and weak signal detection. His work addresses critical challenges in autonomous driving, remote sensing, and intelligent robotics, where lidar’s high accuracy and resolution are essential but often compromised by background light interference. Chen’s most cited paper, “Design of Lidar Receiving Optical System with Large FoV and High Concentration of Light to Resist Background Light Interference” (2024, 5 citations), introduces an innovative optical architecture that significantly enhances signal-to-noise ratio without sacrificing field of view. This contribution is pivotal for enabling robust lidar performance in real-world, high-ambient-light environments. By advancing the concentration and filtering of incoming light, Chen’s research directly improves the reliability of detection systems used in safety-critical applications. His work exemplifies a practical, systems-level approach to optical design, bridging the gap between theoretical optics and deployable technology. As lidar continues to expand into new domains, Chen’s contributions are laying the groundwork for more resilient and efficient sensing platforms.
Research Focus
Key Achievements
Top Papers
- 1