Computer vision algorithms have been utilized for 3-D road imaging and pothole detection
for over two decades. Nonetheless, there is a lack of systematic survey articles on state-of …

Potholes and other road surface damages pose significant risks to vehicles and traffic safety.
The current methods of in situ visual inspection for potholes or cracks are inefficient, costly …

The regular three-dimensional (3D) detection of potholes is essential for the assessment of
pavement conditions. However, some problems associated with the segmentation of …

Collision-free navigation of mobile robots is a challenging task, especially in unknown
environments, and various studies have been carried out in this regard. However, the …

With the recent advancements in artificial intelligence, there is a growing expectation that
fully autonomous driving vehicles will soon become a reality, leading to significant societal …

Recently, governments have been resorting to cutting-edge artificial intelligence
technologies to facilitate the digital transformation of smart cities. Remarkable progress has …

Pothole-induced vehicle damage and accidents have significantly increased recently,
motivating urgent needs for effective detection and maintenance strategies. This paper …

Road damage is an inconvenience and a safety hazard, severely affecting vehicle condition,
driving comfort, and traffic safety. The traditional manual visual road inspection process is …

Road damages are extremely dangerous and unsafe, negatively impacting any type of
vehicle, driving safety, business comfort, and countless other factors. The traditional road …

With the ongoing evolution of autonomous driving technology, road environment perception
systems have become a significant focus of research. However, there is currently a paucity …