Chenxi Feng
Papers
1
Total Citations
8
H-Index
1
About
Chenxi Feng’s research centers on sensor calibration and perception for autonomous systems, with a particular focus on LiDAR technology. Feng is best known for pioneering a global unifying intrinsic calibration framework that works for both spinning and solid-state LiDARs, a critical advance for achieving the measurement accuracy required in modern autonomous navigation. This work, published in 2020, has garnered 8 citations and addresses a long-standing gap in the field: while spinning LiDAR calibration models were based on hypothesized geometric errors, no unified approach existed for emerging solid-state sensors. By developing a method that intrinsically calibrates both sensor types without requiring external targets or prior knowledge of the environment, Feng’s contribution enables more reliable and scalable perception for self-driving cars and robots. This achievement is particularly notable for its practical impact, as it simplifies deployment across diverse LiDAR platforms. Feng’s research continues to push the boundaries of sensor accuracy, making autonomous systems safer and more robust in real-world conditions.
Research Focus
Key Achievements
Top Papers
- 1