AutoTechInsight
Cloud and edge computing in the software-defined vehicle (SDV) landscape
As part of the shift to software-defined vehicles (SDVs), automotive cloud computing is a strategic extension of vehicle-embedded systems computing. Original equipment manufacturers are striving for a Connected, Autonomous, Shared, and Electrified (CASE) future, in which wireless communication between vehicles and the cloud will become increasingly prevalent.
This research addresses the prospects for software business extension and the impact that value chain dynamics will have on the future SDV's development lifecycle.
As part of the shift to software-defined vehicles (SDVs), automotive cloud computing is a strategic extension of vehicle-embedded systems computing. Original equipment manufacturers are striving for a Connected, Autonomous, Shared, and Electrified (CASE) future, in which wireless communication between vehicles and the cloud will become increasingly prevalent.
OEMs are ramping up vehicle computing in three key areas:
Onboard computing: Vehicle domain computers can continue to host all critical real-time, low-process intensity applications
On the edge: Many vehicle-to-everything (V2X) applications that require access to real-time public wireless data can utilize edge computing. The industry will also see low-latency autonomous Level 4 and Level 5 data computation for vehicle path and control maneuvers through private edge computing.
In the cloud: The cloud will also supplement future vehicle computing by optimizing communication between vehicle and the cloud via the back-end ecosystem. The offboard computing process in the cloud will improve vehicle feature performance through over-the-air (OTA) updates, extending infotainment or other connected features, and even reducing vehicle weight and battery charge so vehicle range is improved.
This research addresses the prospects for software business extension and the impact that value chain dynamics will have on the future SDV's development lifecycle.
