Haifei Huang
Papers
1
Total Citations
10
H-Index
1
About
Haifei Huang is a researcher in robotics and computer vision, with a primary focus on multi-camera calibration and mobile robot perception. His most cited work, "Calibration of non-overlapping cameras based on a mobile robot" (2015), addresses a critical challenge in autonomous systems: accurately determining the relative pose between cameras that share no common field of view. By leveraging a mobile robot's motion to establish spatial relationships, Huang's framework enables robust extrinsic calibration without requiring overlapping visual data—a practical solution for complex sensor setups on vehicles and robots. This contribution, with 10 citations, has influenced subsequent work in sensor fusion and autonomous navigation. Huang's research bridges theoretical calibration methods with real-world robotic applications, offering efficient tools for deploying multi-camera systems in environments where traditional calibration fails. His work underscores the importance of integrating motion and vision for reliable perception, making him a notable figure in the advancement of practical computer vision for robotics.
Research Focus
Key Achievements
Top Papers
- 1Calibration of non-overlapping cameras based on a mobile robot10 citations · 2015