The development of edge computing based autonomous and connected vehicles (CAVs)
provides a very promising solution for the construction of intelligent transportation system …

Purpose The service industry is facing the huge impact of digital transformation, in which
artificial intelligence (AI) plays one of the most important roles. This study aims to expand the …

Recently, 3GPP has added new features to long term evolution (LTE) that allow vehicles to
communicate directly with each other and with surrounding objects. These short-range …

We study the error of linear regression in the face of adversarial attacks. In this framework,
an adversary changes the input to the regression model in order to maximize the prediction …

Transformer architectures have exhibited promising performance in various autonomous
driving applications in recent years. On the other hand, its dedicated hardware acceleration …

Over the last ten years, Vehicular Ad Hoc Networks (VANETs) have received significant
attention from the academic and industrial communities alike. VANETs are a particular type …

Self-driving vehicles are currently being developed in major industries for mass public
deployment. Their benefits are attractive, and there is interest in having them on the streets …

Data dissemination in Internet of Vehicles (IoVs) is attracting more and more attention.
However, few efforts have been made on mixed data dissemination in urban scenario. The …

Existing millimeter-wave beamforming network-based multibeam antennas usually suffer
from complex configuration and bulky size, which limit their applications on a vehicle. To …

In this research, we address the problem of accurately predicting lane-change maneuvers
on highways. Lane-change maneuvers are a critical aspect of highway safety and traffic …