Surface defect detection is an extremely crucial step to ensure the quality of industrial
products. Nowadays, convolutional neural networks (CNNs) based on encoder–decoder …

Knowing the pavement condition is essential for efficiently deciding on maintenance
programs. Current practice is predominantly manual with only 0.4% of inspections …

Sealed cracks are frequently observed on the road pavement due to pavement crack
sealing. A sealed crack is a type of road surface distress, whose assessment is essential in …

Pavement management systems rely on comprehensive up-to-date road condition data to
provide effective decision support for short, medium and long term maintenance scheduling …

This study presents a comprehensive literature review focused on the utilization of computer
vision, photogrammetry tools, and machine learning algorithms to enhance road pavement …

Deep learning has shown great potential in machine vision. However, introducing deep
learning to automated surface inspection is still a challenging task because it depends …

Pavement condition monitoring is mainly performed manually. Inspectors are driving or
walking the road network bare-eyed to look for irregularities. Moreover, processing the …

To address the increasing issue of cracks in metro shield tunnels, this paper proposes the
YOLOv8-GSD model, which integrates DySnakeConv, BiLevelRoutingAttention, and the …

Surface defect detection is an extremely crucial step to ensure the quality of industrial
products. Nowadays, convolutional neural networks (CNNs) based on encoder-decoder …

Cracks are an important distress of concrete bridges, and may reduce the life and safety of
bridges. However, the traditional manual crack detection means highly depend on the …