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 …

This article provides a systematic literature review on the application of artificial intelligence
(AI) technology for detecting cracks in civil infrastructure, which is a critical issue affecting the …

Crack detection plays a critical role in ensuring road safety and maintenance. Traditional,
manual, and semi-automatic detection methods have proven inefficient. Nowadays, the …

Instance segmentation of pavement crack presents notable challenges but is pivotal for
practical applications such as crack visual tracking and automated crack repair. However …

Existing manual detection methods have limitations, particularly for pavement cracks in
complex backgrounds, which are manifested in low recognition accuracy, high misjudgment …

Pavement cracks are the primary type of distress that cause road damage, and deep-
learning-based pavement crack segmentation is a critical technology for current pavement …

Advancements in infrastructure management have significantly benefited from automatic
pavement crack detection systems, relying on image processing enhanced by high …

Surface cracks are alluded to as one of the early signs of potential damage to infrastructures.
In the same vein, their detection is an imperative task to preserve the structural health and …

High-precision crack segmentation is crucial for analyzing and maintaining the apparent
state of structures. The introduction of large vision models, such as the segment anything …

Methods: In this survey paper, we present a comprehensive analysis of recent
advancements and developments in crack detection technologies for structures, with a …