Xiaohan Sang
Papers
1
Total Citations
86
H-Index
1
About
Xiaohan Sang is a leading researcher in intelligent infrastructure inspection, specializing in the integration of computer vision and robotics for structural health monitoring. Their work focuses on advancing non-destructive evaluation techniques, particularly for reinforced concrete structures. Sang’s most notable contribution is the development of a novel intelligent inspection robot that employs deep stereo vision for three-dimensional concrete damage detection and quantification. This pioneering work, published in 2021 and garnering 86 citations, addresses a critical gap in infrastructure maintenance by moving beyond traditional two-dimensional damage segmentation methods. By enabling accurate 3D crack assessment, Sang’s research enhances the efficiency, safety, and reliability of structural inspections, offering a transformative approach to prolonging the lifespan of aging infrastructure. Their achievements underscore a commitment to merging robotics and artificial intelligence to solve real-world engineering challenges, positioning them as a key innovator in smart infrastructure and automated damage assessment.
Research Focus
Key Achievements
Top Papers
- 1