With the growing number of aging infrastructure across the world, there is a high demand for
a more effective inspection method to assess its conditions. Routine assessment of structural …

The spatial characteristics of cracks are significant indicators to assess and evaluate the
health of existing buildings and infrastructures. However, the current manual crack …

A number of image processing techniques (IPTs) have been implemented for detecting civil
infrastructure defects to partially replace human‐conducted onsite inspections. These IPTs …

With the rapid increase of ageing infrastructures worldwide, effective and robust inspection
techniques are highly demanding to evaluate structural conditions and residual lifetime. The …

Abstract Convolutional Neural Networks (CNN) have immense potential to solve a broad
range of computer vision problems. It has achieved encouraging results in numerous …

The visual inspection of massive civil infrastructure is a common trend for maintaining its
reliability and structural health. However, this procedure, which uses human inspectors …

Crack detection has vital importance for structural health monitoring and inspection of
buildings. The task is challenging for computer vision methods as cracks have only low-level …

Diagnosing surface cracks of concrete structures has been a critical aspect of assessing
structural integrity. Existing diagnosis technologies are time-consuming, subjective, and …

The damage investigation and inspection methods for infrastructures performed in small-
scale (type III) facilities usually involve a visual examination by an inspector using surveying …

Infrastructure defect detection solutions based on computer vision have recently emerged as
powerful tools with applications in both traditional inspection practices, as well as robotic …