Fujun Ruan
Papers
1
Total Citations
8
H-Index
1
About
Fujun Ruan is a robotics researcher whose work focuses on advancing autonomous navigation and mapping in challenging, confined environments. His primary research areas include simultaneous localization and mapping (SLAM), multi-sensor fusion, and robotic inspection systems. Ruan’s most notable contribution is the development of the Visual-Inertial-Laser-Lidar (VILL) SLAM system, a real-time dense RGB-D mapping framework specifically designed for pipe environments. This work addresses a critical need in infrastructure maintenance by enabling automated data acquisition for pipe condition assessments, which is vital for early detection of anomalies and prevention of hazardous leakages and explosions. By fusing visual, inertial, and lidar data, VILL SLAM achieves robust localization and dense mapping in the dark, feature-sparse, and geometrically complex interiors of pipes—a setting where traditional SLAM methods often fail. With 8 citations since its 2023 publication, Ruan’s research is gaining traction among engineers and researchers seeking to automate inspection of critical underground infrastructure. His work promises to enhance human labor efficiency and safety in the field of civil infrastructure monitoring.
Research Focus
Key Achievements
Top Papers
- 1