Changyong Liu
Papers
1
Total Citations
3
H-Index
1
About
Changyong Liu is a leading researcher in construction automation and infrastructure quality control, with a primary focus on advancing computer vision and LiDAR-based sensing for underground engineering. His most-cited work, "High-Precision defect detection and geometric verification in pipe jacking projects using computer vision and point cloud data" (2025), introduces a groundbreaking integrated system that combines real-time defect detection via a binocular-camera system with YOLOv5 and stereo matching, alongside continuous geometric verification of pipeline trajectory using handheld LiDAR point cloud analysis. This dual approach enables proactive quality control by simultaneously monitoring surface defects and alignment deviations during pipe jacking operations. With 3 citations already in its early publication year, this work is rapidly gaining recognition for its practical impact on reducing construction risks and improving inspection accuracy. Liu's contributions are particularly notable for bridging the gap between real-time monitoring and post-construction verification, offering a scalable solution for smart infrastructure management. His research holds significant promise for transforming traditional quality assurance in trenchless technology, making him a rising authority in the field of automated construction inspection.
Research Focus
Key Achievements
Top Papers
- 1