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 …

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 …

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 …

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 …

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 …

Damage detection plays an important role in pavement health monitoring and inspection.
Unfortunately, research about damage detection of the special component of pavement …

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

The segmentation of crack detection and severity assessment in low-light environments
presents a formidable challenge. To address this, we propose a novel dual encoder …

A deep learning method is proposed to identify damages in jacket offshore platforms, which
integrates the random decrement technique (RDT) and Transformer neural network. RDT is …