The rapid progress of autonomous driving (AD) has triggered a surge in demand for safer
and more efficient autonomous vehicles, owing to the intricacy of modern urban …

This systematic literature review provides a structured and detailed overview of research on
anomaly detection for connected and autonomous vehicles, focusing on the Artificial …

In Intelligent Transportation Systems (ITS), ensuring road safety has paved the way for
innovative advancements such as autonomous driving. These self-driving vehicles, with …

The proliferation of Autonomous Vehicles (AVs) in recent times has opened up new
possibilities for effective and secure transportation. However, with the increasing adoption of …

The advent of autonomous driving systems has given rise to pressing cybersecurity issues
regarding the vulnerability of vehicular ad hoc networks (VANETs) to potential attacks. This …

The rapid advancement of autonomous vehicle (AV) technology has introduced significant
challenges in ensuring transportation security and reliability. Traditional AI models for …

The recent advancements in autonomous driving come with the associated cybersecurity
issue of compromising networks of autonomous vehicles (AVs), motivating the use of AI …

Autonomous vehicles are revolutionizing the future of intelligent transportation systems by
integrating smart and intelligent onboard units (OBUs) that minimize human intervention …

Video anomaly detection is essential to distinguish abnormal events in large volumes of
surveillance video and can benefit many fields such as traffic management, public security …

Image feature categorization has emerged as a crucial component in many domains,
including computer vision, machine learning, and biometrics, in the dynamic environment of …