Fuliang He

Chongqing University, Chongqing University of Technology

Papers

Total Citations

H-Index

About

Fuliang He is a researcher whose work bridges structural health monitoring and intelligent robotics, with a primary focus on optical sensing and image-based diagnostics. He is best known for pioneering a cable surface damage detection method for cable-stayed bridges that combines optical techniques with image mosaicking, a contribution that has garnered 65 citations and stands as his most influential work. This approach enables high-resolution, panoramic inspection of cable surfaces, significantly improving the efficiency and accuracy of detecting fatigue cracks and corrosion in critical infrastructure. Beyond structural engineering, He has also contributed to mobile robotics, developing a human segmentation algorithm for infrared imagery that aids autonomous search operations, a study cited 18 times. His research demonstrates a versatile application of computer vision—from preserving bridge safety to enhancing robotic perception in low-visibility environments. By integrating real-time imaging with automated analysis, He has provided practical tools for non-destructive evaluation and field robotics, making his work valuable for both civil engineers and roboticists seeking robust, vision-based solutions.