Papers
1
Total Citations
5
H-Index
1
About
Dr. Luo You-gao is a leading figure in urban infrastructure diagnostics, specializing in the non-destructive evaluation and intelligent feature extraction of underground drainage systems. His most impactful work addresses critical limitations in closed-circuit television (CCTV) inspection robots, particularly in detecting and characterizing pipeline cracks. In his highly cited 2019 paper, Dr. Luo pioneered a novel approach combining singular value decomposition (SVD) with an edge recognition method to preprocess and binarize CCTV images, enabling the precise separation of crack features from noisy backgrounds. This technique significantly enhances the accuracy and reliability of automated defect identification, moving beyond the constraints of traditional visual inspection. By developing a sliding window-based feature extraction framework, he has provided a robust, data-driven solution for urban drainage maintenance. With over 5 citations on this core work, Dr. Luo’s contributions are foundational to the advancement of smart city infrastructure management, offering a scalable and cost-effective method to prolong the lifespan of aging sewer networks. His research continues to bridge computer vision and civil engineering, empowering next-generation robotic inspection systems.
Research Focus
Key Achievements
Top Papers
- 1