Periodic road crack monitoring is an essential procedure for effective pavement
management. Highly efficient and accurate crack measurements are key research topics in …

In the process of road pavement health and safety assessment, crack detection plays a
pivotal role in a preventive maintenance strategy. Recently, Convolutional Neural Networks …

Road pavement cracks automated detection is one of the key factors to evaluate the road
distress quality, and it is a difficult issue for the construction of intelligent maintenance …

Automatic detection of pavement crack is an important task for conducting road
maintenance. However, as an important part of the intelligent transportation system …

A few recent developments have demonstrated that deep-learning-based solutions can
outperform traditional algorithms for automated pavement crack detection. In this paper, an …

Automatic crack detection is vital for efficient and economical road maintenance. With the
explosive development of convolutional neural networks (CNNs), recent crack detection …

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

Automatic pavement crack detection is essential for evaluating maintenance requirements
and ensuring driving safety. Crack detection plays a primary role in realising the automatic …

Pavement crack detection is essential for safe driving. The traditional manual crack detection
method is highly subjective and time-consuming. Hence, an automatic pavement crack …

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 …