Papers
1
Total Citations
5
H-Index
1
About
Hu Wei is a researcher specializing in civil infrastructure diagnostics, with a particular focus on non-destructive evaluation techniques for underground drainage systems. His major contribution lies in advancing image-based defect detection, most notably through the development of a novel method that combines singular value decomposition (SVD) with edge recognition to identify and extract crack features from CCTV footage captured by pipeline inspection robots. This work, published in 2019, directly addresses the limitations of conventional closed-circuit television systems by improving image binarization and crack feature separation, thereby enhancing the accuracy and reliability of automated pipeline health assessments. With 5 citations, this paper has provided a foundational approach for subsequent studies in structural health monitoring and robotic inspection. Hu Wei’s research bridges signal processing and civil engineering, offering practical solutions for aging urban water infrastructure. His achievements underscore a commitment to integrating computational methods with real-world engineering challenges, making his work valuable for students and researchers interested in smart infrastructure, computer vision, and maintenance robotics.
Research Focus
Key Achievements
Top Papers
- 1