Abstract Applications of Artificial Intelligence (AI), Deep Learning (DL), and Machine
Learning (ML) are becoming common in the field of civil and infrastructure engineering. This …

Pavement needs to be maintained from the moment its service life begins. The maintenance
strategy is mainly based on pavement quality indexes, such as the road damage rate (DR) …

Featured Application This technology can contribute to improving the efficiency and
accuracy of pavement inspection. Abstract The crack ratio is one of the indices used to …

Crack is one of the important pavement damages. The number and types of cracks are
usually collected and inspected by human, but lately computer vision has shown great …

Discovering and assessing cracks is widely thought to be critical for maintaining the healthy
conditions of asphalt pavement. Unfortunately, the inspection of pavement for cracks is not …

Cracks are an acute distress in an asphalt pavement, which must be detected and quantified
to diagnose the pavement's health. Hence, many researchers have developed methods to …

Pavement crack detection, classification, and characterization are key components of
automatic pavement monitoring systems. Most of the currently acceptable methods used for …

Vehicle-based crack detection can serve as a highly effective method for assessing
pavement damage. This paper proposes an automated crack detection, measurement and …

In this study, a supervised machine learning network model is proposed to detect and
classify various types of cracks developed in asphalt pavements, including lane markers …

The detection of pavement crack plays a critical role in pavement maintenance and
rehabilitation because pavement cracking is one of the most important indicators for the …