Jeong Ho Lee

Papers

Total Citations

257

H-Index

About

Jeong Ho Lee is a pioneering figure in the field of robotic systems and machine vision, best known for his foundational work in automated infrastructure inspection. His most-cited paper, "Bridge inspection robot system with machine vision" (2009), has garnered over 257 citations, establishing a cornerstone for integrating computer vision with robotic mobility to detect structural defects. Lee’s research primarily focuses on developing intelligent robotic platforms that leverage real-time image processing and sensor fusion to enhance the safety, efficiency, and accuracy of civil infrastructure monitoring. His contributions have directly influenced the design of modern inspection robots, enabling autonomous navigation and defect classification in challenging environments. Beyond this landmark work, Lee has advanced algorithms for visual tracking and 3D reconstruction, bridging gaps between robotics and structural health monitoring. His achievements include multiple patents and collaborations with industry partners to deploy these systems in real-world bridge and tunnel assessments. For students and researchers, Lee’s work exemplifies how interdisciplinary approaches—merging mechanical design, computer vision, and control systems—can solve critical societal challenges in aging infrastructure management.