Baigen Cai

Beijing Transportation Research Center, Beijing Jiaotong University

Papers

Total Citations

H-Index

About

Baigen Cai is a researcher specializing in robotic vision, visual navigation, and image processing, with a focus on enabling mobile robots to perceive and navigate unknown environments. His most cited work, "A practical distortion correcting method from fisheye image to perspective projection image" (2015, 8 citations), addresses a critical challenge in robotic vision: correcting the strong distortions inherent in super-wide-angle fisheye lenses. This method, requiring only single images and line features, has practical applications in visual surveillance and autonomous navigation. Cai has also made contributions to planar region detection and ego-motion estimation for mobile robots, as seen in his papers from 2011 and 2012. His research on planar region alignment under constrained camera-robot configurations provides a foundation for accurate motion estimation on flat ground, a key task for mobile robot operations. While his citation counts are modest, his work represents foundational steps in practical distortion correction and visual navigation, offering valuable insights for students and researchers developing robust perception systems for autonomous robots.