Zhuwei Zhong
Papers
1
Total Citations
4
H-Index
1
About
Zhuwei Zhong is a researcher at the forefront of intelligent infrastructure monitoring, with a primary focus on integrating robotics, computer vision, and deep learning for civil engineering applications. Their most recognized contribution is the development of a road crack acquisition and analysis system that combines a virtual reality-controlled omnidirectional mobile robot with advanced deep learning algorithms. This innovative work, published in 2021, enables remote, high-resolution collection and automated analysis of road surface cracks, significantly improving the efficiency and safety of infrastructure inspection. The paper has garnered 4 citations, establishing a foundation for future smart maintenance systems. Zhong’s research bridges the gap between mobile robotics and structural health assessment, demonstrating a practical pathway for deploying autonomous agents in real-world environments. By addressing the critical challenge of early crack detection, their work holds promise for reducing repair costs and preventing structural failures. As a rising voice in the field, Zhong continues to explore how emerging technologies can transform traditional civil engineering practices into data-driven, automated processes.
Research Focus
Key Achievements
Top Papers
- 1