Structural health monitoring at local and global levels using computer vision technologies
has gained much attention in the structural health monitoring community in research and …

Data-driven methods in structural health monitoring (SHM) is gaining popularity due to
recent technological advancements in sensors, as well as high-speed internet and cloud …

Computer vision techniques, in conjunction with acquisition through remote cameras and
unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure …

In the past two decades, structural health monitoring (SHM) systems have been widely
installed on various civil infrastructures for the tracking of the state of their structural health …

This paper reports the application of deep learning for implementing the anomaly detection
of defects on concrete structures, so as to facilitate the visual inspection of civil infrastructure …

This study presents a three-dimensional (3D) reconstruction model based on unmanned
aerial vehicle (UAV) images for dam emergency monitoring and inspection. The structure …

Computer‐vision and deep‐learning techniques are being increasingly applied to inspect,
monitor, and assess infrastructure conditions including detection of cracks. Traditional vision …

Cracks undermine the structural health of transportation infrastructure. Machine vision-
based surface crack analysis is to process infrastructure inspection data collected by …

Abstract In the United States, to ensure railroad safety and keep its efficient operation,
regular track inspections on track component defects are required by the Federal Railroad …

As civil structures age and deteriorate, it becomes crucial to conduct structural health
monitoring (SHM) to ensure safety and timely maintenance. Surface defect detection plays a …