Zhihao Ye
Papers
1
Total Citations
4
H-Index
1
About
Zhihao Ye 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 a critical need for efficient, remote inspection of transportation infrastructure, reducing reliance on manual surveys. With 4 citations, this paper has laid groundwork for automated pavement assessment. Ye’s research bridges robotics, computer vision, and structural health monitoring, demonstrating a practical pathway toward safer, smarter roads. His work is particularly notable for its emphasis on real-world deployment, combining hardware development with deep learning pipelines to enhance accuracy and scalability. As a rising voice in intelligent infrastructure, Ye’s contributions are shaping the future of automated damage detection and maintenance planning.
Research Focus
Key Achievements
Top Papers
- 1