Abstract
Today (in the 2020s) and in coming years (in the 2030s, for example), functional architectures are divided into different in-vehicle networks. The main tasks entrusted to these subsystems are: power train management, chassis management, vehicle body management, comfort management, infotainment management, communications management, and safety management. In the age of autonomous and connected vehicles, as services evolve and cybersecurity becomes a concern, big data is one of the major issues for businesses, at all stages in their process. The chapter describes one of the classic examples of data fusion algorithms integrated into a vehicle's electronic control units. Artificial intelligence must be explicable and robust in order to generate confidence and allow new ecosystems to develop. The chapter focuses on hardware architectures and topologies of communication networks and their performances in autonomous and connected vehicles. It covers some of the legacy protocols that have been on the market in this area for a number of years.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have