Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …

Cracks are a common defect in civil infrastructures, and their occurrence is often closely
related to structural loading conditions, material properties, design and construction, and …

Crack inspection is an essential means to guarantee the healthy service state of
infrastructure. However, conventional methods suffer from bottlenecks such as wide blind …

While there have been a considerable number of studies on computer vision (CV)-based
crack detection on concrete/asphalt public facilities, such as sewers and tunnels, masonry …

This paper presents a deep learning-based approach for multiclass surface damage
detection and segmentation in various bridge components. The proposed BridgeNet …

An improved real-time tunnel lining crack detection model based on YOLOv5 is proposed.
This model maintains high precision and accuracy crack detection in low-light, low-contrast …

Defects are inevitable in traffic tunnels that have been in service for a long time. Despite
efforts to implement digital engineering management, a vast amount of historical data about …

Tunnel cracks are a crucial indicator of tunnel detection and performance evaluation.
However, traditional manual inspection methods are time-consuming and dangerous. To …

High-performance line-scan cameras are highly accurate and efficient for tunnel detection,
however, the exponential growth of image data creates new challenges for real-time image …

Aiming to automatically, precisely, and rapidly detect tunnel lining cracks from images and
extract geometric information for structural condition assessment, this study proposes a …