Lightweight Virtualization as Enabling Technology for Future Smart Cars
Résumé
Modern vehicles are equipped with several interconnected
sensors on board for monitoring and diagnosis
purposes; their availability is a main driver for the development
of novel applications in the smart vehicle domain. In
this paper, we propose a Docker-based container platform as
a virtualization solution to implement customized smart car
applications. Through a proof-of-concept prototype—developed
on a Raspberry Pi3 board—we show that a container-based
virtualization approach is not only viable but also effective and
flexible to manage several parallel processes running on board.
More specifically, the platform can take priority-based decisions
by handling multiple inputs, e.g., data from the CANbus based
on the OBD II codes, video from the on-board webcam, and
so on. Results are promising for the development of in-vehicle
virtualization techniques in future vehicles.
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