Chul‐Woo Kim
Papers
2
Total Citations
17
H-Index
2
About
Dr. Chul-Woo Kim is a leading researcher in structural health monitoring and infrastructure inspection, with a focus on integrating advanced robotics and deep learning to solve critical problems in civil engineering. His work addresses the urgent challenge of aging infrastructure and the shortage of experienced inspection engineers. Dr. Kim’s major contributions include pioneering the use of unmanned aerial vehicles (UAVs) and deep learning for automated concrete crack detection, as demonstrated in his highly cited 2019 paper (15 citations), which has become a foundational reference for vision-based damage assessment. He also conducted feasibility studies on crack identification using mobile robots (2017), contributing to Japan’s national projects on innovative robotic inspection systems. His research has a direct impact on improving the safety, efficiency, and accuracy of bridge and roadway inspections. Dr. Kim’s work is notable for bridging the gap between computer vision, robotics, and practical civil engineering needs, making him a key figure in the development of next-generation, non-destructive evaluation technologies.
Research Focus
Key Achievements
Top Papers
- 1Concrete Crack Detection Using UAV and Deep Learning15 citations · 2019
- 2