Cracks are a major sign of aging transportation infrastructure. The detection and repair of
cracks is the key to ensuring the overall safety of the transportation infrastructure. In recent …

Data scarcity is a major challenge when training deep learning (DL) models. DL demands a
large amount of data to achieve exceptional performance. Unfortunately, many applications …

Amidst the unprecedented demographic boom, coupled with climate change, more pressure
is being exerted on road networks. Asset managers are thus in search for time and cost …

Nowadays, the world has achieved tremendous economic development at the expense of
the long-term habitability of the planet. With the rapid economic development, the global …

Timely and accurate extraction of pavement crack information is crucial to maintain service
conditions and structural safety for infrastructures and reduce further road maintenance …

With the implementation of 14th Five-Year Plan in China and the completion of the poverty
alleviation task, the economy in China has made great progress. However, the carbon …

Crack is a condition indicator of the pavement's structure. Generally, crack detection is an
essential task for effective diagnosis of the road network. Moreover, evaluation of road …

The deployment of machine learning for image crack detection requires model robustness
via an adaptive generalisation to unprecedented scenarios. Eg, in masonry, backgrounds …

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 …

Image processing methods for automated concrete crack detection are often challenged by
binary noise. Noise removal methods decrease the false positive pixels of crack detection …