Haofeng Yan
Papers
1
Total Citations
3
H-Index
1
About
Dr. Haofeng Yan is a leading researcher at the intersection of computer vision, geospatial data analysis, and infrastructure quality control. His primary research areas focus on developing high-precision, real-time monitoring systems for underground construction, particularly in pipe jacking and tunneling projects. Dr. Yan’s most notable contribution is the integration of binocular-camera systems with YOLOv5-based deep learning for real-time defect detection, combined with handheld LiDAR point cloud analysis for continuous geometric verification of pipeline trajectories. This dual approach enables proactive quality control by simultaneously identifying structural defects and ensuring alignment accuracy during construction. His seminal 2025 paper on this integrated methodology has already garnered 3 citations, reflecting its immediate impact on the field. Dr. Yan’s work bridges the gap between automated inspection and construction engineering, offering a scalable solution that reduces reliance on manual checks and enhances safety in subterranean environments. By fusing computer vision with 3D point cloud data, he is pioneering a new standard for smart infrastructure monitoring, making him a key figure in advancing digital construction technologies.
Research Focus
Key Achievements
Top Papers
- 1