Yuanhe Shan
Papers
2
Total Citations
10
H-Index
1
About
Yuanhe Shan is a researcher at the forefront of intelligent infrastructure inspection, specializing in robotic vision systems for civil engineering. His work centers on developing automated, non-destructive evaluation methods for critical bridge structures, with a particular focus on pier defect detection. Shan’s major contribution is the creation of a novel ring-climbing vision scanning robot, which overcomes the limitations of traditional UAVs and wall-climbing robots by providing a stable, high-resolution platform for surface inspection. His most cited paper, “Automated intelligent measurement of cracks on bridge piers using a ring-climbing vision scanning operation robot” (2024), has garnered 9 citations, demonstrating early impact in this niche field. His subsequent work integrates Vision Mamba, a state-of-the-art deep learning architecture, to enhance defect detection accuracy. By combining robotic mobility with advanced computer vision, Shan is pushing the boundaries of automated structural health monitoring, offering a safer, more efficient alternative to manual inspections. His research holds significant promise for extending the lifespan of aging transportation infrastructure.
Research Focus
Key Achievements
Top Papers
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- 2