This article proposes a deep learning–based autonomous concrete crack detection
technique using hybrid images. The hybrid images combining vision and infrared …

Visual inspection has been the most widely used technique for monitoring concrete
structures in service. Inspectors visually evaluate defects based on experience, skill, and …

The detection of cracks in concrete structures is a pivotal aspect in assessing structural
robustness. Current inspection methods are subjective, relying on the inspector's experience …

Recently, many countries have investigated replacing conventional visual inspection with
computer‐vision–based inspection to enhance the efficiency, speed, and objectivity of …

Cracking in concrete structures affects performance and is a major durability problem.
Cracks must be detected and repaired in time in order to maintain the reliability and …

At present, a number of computer vision-based crack detection techniques have been
developed to efficiently inspect and manage a large number of structures. However, these …

Crack detection is a critical task in monitoring and inspection of civil engineering structures.
Image classification and bounding box approaches have been proposed in existing vision …

Infrastructure, such as buildings, bridges, pavement, etc., needs to be examined periodically
to maintain its reliability and structural health. Visual signs of cracks and depressions …

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 …

Structural cracks have serious repercussions on the safety, adaptability, and longevity of
structures. Therefore, assessing cracks is an important parameter when evaluating the …