Zhicheng Jiang
Papers
1
Total Citations
4
H-Index
1
About
Zhicheng Jiang is a researcher at the forefront of intelligent infrastructure monitoring, specializing in the integration of mobile robotics and deep learning for civil engineering applications. His most cited work, "Road Crack Acquisition and Analysis System Based on Mobile Robot and Deep Learning" (2021), introduces a novel system that combines a virtual reality-controlled omnidirectional mobile robot with advanced image analysis to autonomously detect and classify road cracks. This contribution addresses critical challenges in automated pavement inspection, offering a scalable solution that enhances both safety and efficiency in infrastructure maintenance. With 4 citations, this paper has established Jiang as a notable voice in the emerging field of robotic structural health monitoring. His research bridges the gap between computer vision, robotics, and civil engineering, demonstrating a practical pathway toward smarter, data-driven urban management. Jiang’s work is particularly relevant for students and researchers interested in deploying deep learning models on mobile platforms for real-world environmental sensing.
Research Focus
Key Achievements
Top Papers
- 1