Machine learning (ML) techniques are expected to be used for specific applications in
Vehicular Social Networks (VSNs). Support vector machine (SVM) is one of the typical ML …

With the ongoing development and improvement of deep learning technology, autonomous
vehicles (AVs) have made tremendous progress in recent years. Despite its great potential …

We are seeing a growth in the number of connected vehicles in Vehicular Ad-hoc Networks
(VANETs) to achieve the goal of Intelligent Transportation System (ITS). This is leading to a …

The number of Connected and Autonomous Vehicles (CAVs) is increasing rapidly in various
smart transportation services and applications, considering many benefits to society, people …

Secure and real-time communication is an essential condition in mobile vehicular networks,
and this requires secure authentication and seamless access enabled by roaming services …

Intelligent and connected vehicles (ICVs) have become the mainstream in the development
of automobile industry. Many emerging technologies have been proposed to provide users …

Vehicular ad hoc networks (VANETs) have become an important part of the intelligent
transportation system that aims to promote communication among vehicles to ensure …

Extracting vehicle information is of great significance to the construction of the Internet of
Vehicles (IoV). Vehicle logo detection (VLD) technology can effectively extract vehicle …

This paper considers a rotary-wing unmanned aerial vehicle (UAV)-enabled wireless power
transfer system, where a UAV is dispatched as an energy transmitter (ET), transferring radio …

Vehicular platooning is emerging as a promising method that can enhance road utilization,
alleviate traffic congestion, and even decrease energy expenditure by shortening the …