The prompt detection of early decay in the pavement could be an auspicious technique in
road maintenance. Admittedly, early crack detection allows preventive measures to be taken …

Computer vision-based crack analysis for civil infrastructure has become popular to
automatically process inspection imaging data for crack detection, localisation and …

Abstract oncrete is a widely used material in the infrastructure system. However, this material
is susceptible to several factors that eventually create concrete cracks. Thus, accurately …

Pavement defect detection is of profound significance regarding road safety, so it has been a
trending research topic. In the past years, deep learning based methods have turned into a …

Over the last two decades, the integration of big data and deep learning technologies has
demonstrated remarkable effectiveness across various domains of civil engineering, leading …

Pavement cracks are severely affecting highway performance. Thus, implementing high-
precision highway pavement crack detection is important for highway maintenance …

Deep learning methods have relevant applications in crack detection in buildings. However,
one of the challenges in this field is the hyperparameter tuning process for convolutional …

The road is one of the most important civil infrastructures for serving society, where its
service quality and life have direct impacts on the safety and comfort of users. Therefore …

Crack identification is essential for the preventive maintenance of asphalt pavement.
Through periodic inspection, the characteristics of existing and emerging cracks can be …

Large structures, such as bridges, highways, etc., need to be inspected to evaluate their
actual physical and functional condition, to predict future conditions, and to help decision …