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 …

Bridge inspection and monitoring are usually used to evaluate the status and integrity of
bridge structures to ensure their safety and reliability. Computer vision (CV)-based methods …

Cracks are one of the most common pavement surface diseases. Timely repair of these
cracks is imperative to prevent a substantial reduction in the pavement's service life …

Regular patrol inspection of concrete dams can detect cracks at an early stage. However,
conventional crack segmentation models based on deep learning (DL) are difficult to be …

In the search to enhance the effectiveness and efficiency of structural health monitoring for
preserving safety and integrity in civil infrastructure, the search for innovative technologies is …

Cracks are an earlier indication of severe structural damage, and are also an important
indicator in the evaluation of structural health and monitoring processes. However, the …

High-resolution (HR) crack image segmentation is crucial for accurate bridge safety
diagnosis. However, accurately segmenting cracks with their slender topology and random …

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

Crack detection in civil infrastructures has seen impressive accuracy achieved by
Convolutional Neural Networks (CNNs) and Transformers. However, practical deployments …

Routine visual inspections of concrete structures are imperative for upholding the safety and
integrity of critical infrastructure. Such visual inspections sometimes happen under low-light …