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 …

Road pavement cracks detection has been a hot research topic for quite a long time due to
the practical importance of crack detection for road maintenance and traffic safety. Many …

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 disease detection is an important task for ensuring road safety. Manual visual
detection requires a significant amount of time and effort. Therefore, an automated road …

This paper introduces a method for detecting pavement defects based on convolutional
neural networks. First, grey and depth image data were acquired using a 3D pavement …

Pavement defect detection is critical for pavement maintenance and management.
Meanwhile, the accurate and timely detection of pavement defects in complex backgrounds …

Deep learning, more specifically deep convolutional neural networks, is fast becoming a
popular choice for computer vision-based automated pavement distress detection. While …

Despite of the increased level of automation in vehicles, the detection of pavement distress,
such as cracks and potholes, is mostly performed manually. We propose a methodology for …

One of the most prevalent ailments of the road is crack. When it does, the standard of road
engineering will be significantly lower and may even result in road collapse. Early detection …

Automated pavement crack detection is a challenging task that has been researched for
decades due to the complicated pavement conditions in real world. In this paper, a …