Pavement management systems play a significant role in country's economy since road
authorities are concerned about preserving their priceless road assets for a longer time to …

The intelligent detection of pavement distress using deep learning methods has consistently
been a hotspot in pavement maintenance. This paper aims to offer new insights to promote …

Road pavement damage affects driving comfort markedly, threatens driving safety, and may
even cause traffic accidents. The traffic management department conventionally captures …

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 …

Unmanned Aerial Vehicle (UAV)-based pavement distress detection offers efficient and safe
advantages. However, obstructions from road vehicles and the slender shape of cracks in …

Road defects are important factors affecting traffic safety. In order to improve the
identification efficiency of road diseases and the pertinence of maintenance and …

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 …

Abstract Artificial intelligence, particularly Convolutional Neural Network (CNN), has
emerged as a highly effective methodology for detecting pavement distresses. This study …

Street-view imagery provides us with novel experiences to explore different places remotely.
Carefully calibrated street-view images (eg, Google Street View) can be used for different …

Recently, many deep learning methods have achieved great results in the field of automated
pavement distress detection, but most of them ignore other types of distresses beyond …