Zequn Wang
Papers
1
Total Citations
28
H-Index
1
About
Dr. Zequn Wang is a leading researcher at the intersection of structural health monitoring and computer vision, with a particular focus on leveraging unmanned aerial vehicles (UAVs) for non-contact infrastructure assessment. His most cited work, a 2023 concise survey on UAV-based computer vision for structural vibration measurement and condition assessment, has already garnered 28 citations, reflecting its timely impact on the field. Dr. Wang’s major contribution lies in synthesizing how high-resolution camera sensors and semantic extraction from digital imagery can replace traditional contact-based sensors, enabling full-field, cost-effective monitoring of bridges, buildings, and other critical structures. By addressing challenges in vibration measurement and damage detection, his research paves the way for safer, more resilient infrastructure. This survey serves as a foundational resource for engineers and researchers seeking to deploy drones for real-world structural evaluation. Dr. Wang’s work is notable for bridging the gap between advanced computer vision techniques and practical civil engineering applications, positioning him as a key voice in the growing domain of autonomous infrastructure inspection.
Research Focus
Key Achievements
Top Papers
- 1