Effective and reliable road condition monitoring systems are essential for ensuring the safety
and utility of transportation systems. This paper presents a road condition monitoring system …

This study is motivated by the fact that localization in millimeter wave (mmWave) Vehicle-to-
Vehicle communication becomes a more critical problem because both the terminals of the …

This paper compares three supervised learning techniques (support vector machines,
random forest, and decision trees with gradient boosting) applied to the problem of detecting …

Road vehicles include more and more assistance systems that perform tasks to facilitate
driving and make it safer and more efficient. However, the automated vehicles currently on …

Merging is one of the most critical scenarios that can be found in road transport. In this
maneuver, the driver is subjected to a high mental load due to the large amount of …

Abstract Connected and Autonomous Vehicles (CAV) rely on information obtained from
sensors and communication to make decisions. In a Cooperative Vehicle Safety (CVS) …

Multi-source data fusion to support vehicle on-road analysis is a promising service offered
by mobile edge computing (MEC) for vehicles. With the fusion results delivered in near real …

Automated vehicles are required to predict the future manoeuvres, eg, lane change, of their
nearby vehicles to operate safely and efficiently. A Manoeuvre prediction algorithm …

The growing number of vehicles with various autonomy levels leads to a phase where
legacy (LV) and sensor-rich (SRV) vehicles coexist on the roads. This state of traffic requires …

Perception and correct understanding of the road scene is crucial for any application of
assisted and automated driving. In order to guarantee safety of the passenger and other …