In recent decades, scientific and technological developments have continued to increase in
speed, with researchers focusing not only on the innovation of single technologies but also …

Real-time object detection based on UAV remote sensing is widely required in different
scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV) …

Crack development is increasingly intensified and causes pavement damage in recent
decades under extreme weather events. Although various auto-or semi-auto crack …

In order to improve the efficiency and accuracy of bridge crack detection, this paper
introduces Deep Learning for bridge crack detection with Unmanned Aerial Vehicles …

Pavement anomaly detection can help reduce the pressure of data storage, transmission,
labelling and processing. This paper describes a novel method based on transformer and …

Periodic grooved cement concrete pavement crack detection is of great importance for
pavement condition monitoring and maintenance. The current state-of-the-art (SOTA) …

Cracks are usually curve-like structures that are the focus of many computer-vision
applications (eg, road safety inspection and surface inspection of industrial facilities). The …

The structural deterioration of urban underground pipe networks is the accumulated
combined effects of physical, environmental and operational factors during the whole …

Crack detection is vital to maintain the structural safety of in-service bridges, which is an
increasing demand in the industrial community. The deep learning-based crack detection is …

Discovering damage in pavement videos is critical for the assessment of pavement
conditions. Unfortunately, existing damage segmentation methods in pavement videos have …