Jintong Liu
Papers
1
Total Citations
9
H-Index
1
About
Dr. Jintong Liu is a leading researcher in structural health monitoring and computer vision, whose work bridges deep learning and 3D sensing for infrastructure assessment. Her primary research areas include semantic segmentation, binocular vision, and automated defect detection in concrete bridges. Dr. Liu’s most notable contribution is a binocular vision-based crack detection and measurement method that integrates semantic segmentation to extract both the presence and morphological characteristics of cracks—key indicators for bridge condition ratings. Unlike prior studies that relied on pixel-level detection or monocular devices, her approach enables accurate 3D quantification of crack geometry, advancing beyond simple identification to precise measurement. This work, published in 2023, has already garnered 9 citations, reflecting its timely impact on the field. By combining deep learning with stereo vision, Dr. Liu provides a practical, non-contact solution for infrastructure inspection, reducing human error and improving safety assessments. Her research is essential reading for students and engineers seeking to apply AI to real-world civil engineering challenges, offering a blueprint for integrating computer vision into structural evaluation.
Research Focus
Key Achievements
Top Papers
- 1