The ability of classifying road anomalies plays a crucial role in monitoring road conditions
and the maintenance process. Modern techniques utilize the acceleration signal resulting …

The Internet of Things (IoT) infrastructure, systems, and applications demonstrate potential in
serving smart city development. Crowdsensing approaches for road surface conditions …

In this work, we present SafeStreet, an automated road anomaly detection and early warning
system. A pilot of SafeStreet was conducted by deploying the SafeStreet mobile app on …

Road anomaly detection is essential in road maintenance and management; however,
continuously monitoring road anomalies (such as bumps and potholes) with a low-cost and …

The detection of road surface anomalies is a crucial task for modern traffic monitoring
systems. In this paper, we used the YOLOv8 network,-a state-of-the-art convolutional neural …

This paper addresses road anomaly detection by formulating it as a classification problem
and applying deep learning approaches to solve it. Besides conventional road anomalies …

Road pavement anomalies can result in many negative effects such as damages to vehicles,
poor ride quality, additional ride time and road traffic accidents. Therefore it is important to …

Road networks are the most important facility to the public transportation in modern cities.
Governments around the world allocate large amounts of budgets for the pavement …

Road anomaly detection with crowdsourced sensor data has become an increasingly
important field of research over the last few years. Traditional ways for road anomaly …

Anomalies in road surface not only impact road quality but also affect driver safety, mechanic
structure of the vehicles, and fuel consumption. Several approaches have been proposed to …