The emerging vehicular connected applications, such as cooperative automated driving and
intersection collision warning, show great potentials to improve the driving safety, where …

Connected and Autonomous Vehicles (CAVs) will be provided with multiple sensing and
connectivity options as well as embedded computing and decision-making capabilities. The …

The automotive industry is experiencing a significant evolution from traditional hardware-
defined to software-defined architecture, enabling higher levels of autonomy, connectivity …

Raindrops adhering to windshields or camera lenses substantially impair visibility, leading
to significant camera-based detection challenges for software-defined vehicles in both …

In recent years, cloud computing has gained more and more popularity. The motivation
towards implementing cloud computing in vehicular networks is due to the availability of …

In this chapter, we delve into the transformative role of connected vehicles as dynamic
computation platforms, transcending their conventional transportation functions. With the …

As vehicles evolve into sophisticated computing platforms, their ability to communicate
effectively becomes critical for safety and efficiency. This chapter provides a comprehensive …

The security, privacy, and ethical issues surrounding the implementation of connected
vehicles (CVs) are numerous. This paper provides a review of recent studies that investigate …