Jizhong Xiaol
Papers
1
Total Citations
24
H-Index
1
About
Dr. Jizhong Xiao is a pioneering researcher in the intersection of robotics, computer vision, and structural health monitoring, with a focus on autonomous inspection systems. His major contributions lie in developing wall-climbing robots integrated with deep learning for detecting and measuring concrete defects, such as cracks and spalling. A standout work, his 2019 paper on "Deep Neural Network based Visual Inspection with 3D Metric Measurement of Concrete Defects using Wall-climbing Robot," has garnered 24 citations, showcasing its impact in advancing non-destructive evaluation. This system uniquely combines a robotics data collection module with RGB-D imaging to capture precise 3D metric measurements, enabling automated, accurate assessments of infrastructure integrity. Dr. Xiao’s innovations bridge the gap between robotic mobility and intelligent defect detection, offering scalable solutions for aging infrastructure maintenance. His work is highly relevant for students and researchers in civil engineering, robotics, and AI, as it demonstrates the practical deployment of deep neural networks in real-world inspection tasks. Through these achievements, Dr. Xiao is shaping the future of resilient and smart infrastructure monitoring.
Research Focus
Key Achievements
Top Papers
- 1