Chuan Fang
Papers
1
Total Citations
32
H-Index
1
About
Chuan Fang is a leading researcher in the fields of 3D computer vision, sensor fusion, and autonomous systems, with a particular focus on efficient calibration and perception for robotics and augmented reality. His most notable contribution is the groundbreaking work "Single-Shot is Enough: Panoramic Infrastructure Based Calibration of Multiple Cameras and 3D LiDARs," which has garnered 32 citations. This work revolutionizes the traditionally tedious and impractical process of calibrating multi-modal sensors—a critical step for autonomous vehicles and AR devices—by enabling a rapid, single-shot calibration method using panoramic infrastructure. Fang’s research addresses the pressing need for scalable, mass-production-ready sensor integration, significantly reducing setup time while maintaining high accuracy. His innovative approach has been widely recognized for its practical impact, bridging the gap between laboratory precision and real-world deployment. Through his work, Fang has established himself as a key figure in advancing robust, real-time perception systems, making him an influential voice for students and researchers exploring efficient multi-sensor calibration and 3D scene understanding.
Research Focus
Key Achievements
Top Papers
- 1