Menghan Xia
Papers
1
Total Citations
55
H-Index
1
About
Menghan Xia is a researcher whose work bridges computer vision and structural engineering, with a particular focus on automated inspection and image processing for infrastructure. His key research areas include multi-image stitching, feature extraction, and the application of computer vision techniques to civil engineering challenges. Xia’s most notable contribution is his development of an automatic multi-image stitching method for concrete bridge inspection, which combines point and line features to create seamless, high-resolution panoramic views of structural surfaces. This work, published in 2018 and cited 55 times, has proven instrumental in advancing non-destructive evaluation methods, enabling more efficient and accurate detection of cracks, corrosion, and other defects in bridges. By integrating geometric and visual cues, Xia’s approach reduces manual labor and enhances the reliability of inspection data. His research has practical implications for infrastructure maintenance and safety, making him a key figure in the intersection of computer vision and civil engineering. With a growing citation record, Xia continues to contribute to the development of intelligent systems for structural health monitoring.
Research Focus
Key Achievements
Top Papers
- 1