Recently, there has been a substantial increase in the development of sensor technology.
As enabling factors, computer vision (CV) combined with sensor technology have made …

Road surfaces suffer from sources of deterioration, such as weather conditions, constant
usage, loads, and the age of the infrastructure. These sources of decay generate anomalies …

In smart cities, ensuring road safety and optimizing transportation efficiency heavily relies on
streamlined road condition monitoring. The application of Artificial Intelligence (AI) has …

Monitoring road surface anomalies is crucial to avoid potential harm to pedestrians,
vehicles, and vehicle users. These factors have motivated the development of systems that …

This study presents a current and extensive bibliometric analysis of pavement deterioration
detection, monitoring, and assessment using various sensors alongside machine learning …

We propose a novel approach to detecting road defects by leveraging smartphones. This
approach presents an automatic data collection mechanism and a deep learning model for …

Pavement condition monitoring is an important task in road asset management and efficient
abnormal pavement condition detection is critical for timely conservation management …

The accurate classification of road surface conditions plays a vital role in ensuring road
safety and effective maintenance. Vibration-based techniques have shown promise in this …

Road Condition Monitoring is a critical task for the management and maintenance of the
pavement network infrastructure by the authorities. In recent years, the application of …

Road pavement monitoring represents the starting point for the pavement maintenance
process. To quickly fix a damaged road, relevant authorities need a high-efficiency …