Xiaohu Lu
Papers
1
Total Citations
55
H-Index
1
About
Xiaohu Lu is a leading researcher in computer vision and structural health monitoring, with a focus on automated image-based inspection of civil infrastructure. His work bridges the gap between advanced computer vision techniques and practical engineering applications, particularly for concrete bridge assessment. Lu's most cited paper, "Automatic multi-image stitching for concrete bridge inspection by combining point and line features" (2018), has garnered 55 citations, demonstrating its influence in the field. This contribution introduces a novel method that integrates point and line features to create seamless panoramic images from multiple camera views, enabling efficient and accurate visual inspection of large structures. By automating the stitching process, Lu's approach reduces manual effort and enhances the reliability of defect detection in bridges. His research is notable for its practical impact, offering scalable solutions for infrastructure monitoring that improve safety and reduce costs. Lu's work continues to inspire further developments in vision-based structural assessment, making him a key figure in the intersection of computer vision and civil engineering.
Research Focus
Key Achievements
Top Papers
- 1