Jingyao He
Papers
2
Total Citations
46
H-Index
2
About
Dr. Jingyao He is a leading researcher in intelligent infrastructure inspection, specializing in the application of deep learning and robotics to civil engineering challenges. His work focuses on developing advanced computer vision systems for detecting structural defects in critical, hard-to-access environments. Dr. He’s major contributions include pioneering the use of enhanced real-time detection transformers (RT-DETR) for robotic inspection of underwater bridge pier cracks, a method that has garnered 33 citations since 2024. He also developed a lightweight sewer pipe crack detection technique using amphibious robots and an improved YOLOv8n algorithm, which addresses the difficult problem of identifying cracks in underground urban sewage pipelines. This approach, cited 13 times, enables rapid data collection and analysis by using pipeline robots as mobile equipment carriers. Dr. He’s work is notable for its practical impact, directly improving the safety and longevity of aging infrastructure through automated, efficient, and accurate defect detection. His research bridges the gap between cutting-edge AI and real-world engineering needs, making him a key figure in the future of smart infrastructure maintenance.
Research Focus
Key Achievements
Top Papers
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