Road condition monitoring (RCM) has been a demanding strategic research area in
maintaining a large network of transport infrastructures. With advancements in computer …

In recent decades, scientific and technological developments have continued to increase in
speed, with researchers focusing not only on the innovation of single technologies but also …

Pavement distress detection is crucial in the decision-making for maintenance planning.
Unmanned aerial vehicles (UAVs) are helpful in collecting pavement images. This paper …

In order to improve the efficiency and accuracy of bridge crack detection, this paper
introduces Deep Learning for bridge crack detection with Unmanned Aerial Vehicles …

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 …

The detection and counting of wheat ears are very important for crop field management,
yield estimation, and phenotypic analysis. Previous studies have shown that most methods …

Pothole repair is one of the paramount tasks in road maintenance. Effective road surface
monitoring is an ongoing challenge to the management agency. The current pothole …

Digital image processing technology has been widely applied in various fields, and it is also
increasingly used in pavement distress detection in recent years. The objective of this review …

Automatic pavement distress detection is essential to monitoring and maintaining pavement
condition. Currently, many deep learning-based methods have been utilized in pavement …