The application of Artificial Intelligence (AI) and Machine Learning (ML) to cybersecurity
challenges has gained traction in industry and academia, partially as a result of widespread …

Abstract Internet of Vehicles (IoVs) consists of smart vehicles, Autonomous Vehicles (AVs)
as well as roadside units (RSUs) that communicate wirelessly to provide enhanced …

Connected and autonomous vehicles (CAVs) play a significant role in sha** the future of
intelligent transportation by enhancing safety, efficiency, and reliability. CAV s, however, are …

Radar systems are diverse and used in industries such as air traffic control, weather
monitoring, and military and maritime applications. Within the scope of this study, we focus …

Given the uncertainty surrounding how existing explainability methods for autonomous
vehicles (AVs) meet the diverse needs of stakeholders, a thorough investigation is …

The sensor‐enabled in‐vehicle communication and infrastructure‐centric vehicle‐to‐
everything (V2X) communications have significantly contributed to the spark in the amount of …

The global automotive industry is giving a difficult and common test in order to create
advanced life models in the near future plans or scenarios that include current autonomous …

The digitization and networking of safety-critical systems also enables attacks that can have
devastating consequences. Thus, appropriate security measures are required. In this work …

Automotive cybersecurity is a relatively new subset of the cybersecurity industry. The in-
vehicle network was initially designed to be standalone. However, with the introduction of …