Yaming Xu
Papers
1
Total Citations
17
H-Index
1
About
Yaming Xu is a researcher specializing in structural health monitoring and civil infrastructure resilience, with a particular focus on long-span bridges. Their key contributions lie in developing innovative, non-contact sensing methods for detecting structural deflections—a critical parameter for assessing bridge safety and performance. Xu’s most-cited work, "A remote deflection detection method for long-span bridges using adaptive mask and high-resolution camera" (2022, 17 citations), introduces a novel approach that combines adaptive masking techniques with high-resolution imaging to enable accurate, remote monitoring of bridge deformations. This method addresses longstanding challenges in traditional contact-based sensors, offering a cost-effective and scalable solution for real-time infrastructure assessment. By leveraging computer vision and adaptive algorithms, Xu’s research enhances the ability to detect subtle structural changes, potentially preventing catastrophic failures. Their work has been recognized for its practical applicability in aging infrastructure systems, contributing to safer and more resilient transportation networks. With growing citation impact, Yaming Xu continues to advance the field of remote sensing for civil engineering, bridging the gap between laboratory innovation and real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1