CES 2020 Deliverables

VHAL Architectural Concepts

The GENIVI Android Automotive SIG project has elaborated a couple of Vehicle Hardware Abstraction Level architectural concepts that supports the capturing of the vehicle data requested by Google and the extended vehicle date requested by the OEMs.

GAS Alternate Suppliers Market Analysis

The GENIVI Android Automotive SIG project performed a market analysis of the alternatives and extensions to the Google Automotive Services (GAS) offering

Vehicle Data Model Overview and Gap Analysis

To receive full benefit from vehicle data, the industry needs to align on a standard data model and common approach for moving vehicle data to/from the back-end cloud.  Step one in this essential model alignment is to understand existing approaches and the gaps present in them.  GENIVI recently published a “Vehicle Data Model Overview and Gap Analysis” that provides readers important information for the future data-oriented strategies.

"Alpha" Automotive Virtualization Specification

Virtualization is finding its way into the vehicle but bringing with it proprietary implementations that require vendor lock-in.  GENIVI has consolidated input from several hypervisor vendors to produce an early draft version of a more standard automotive virtualization approach that could serve the industry as a standard for future virtualization deployment.

FARACON Tooling

With a growing trend toward a centralized cockpit, historical in-vehicle operating systems and software must now be integrated.  GENIVI funded and has made available a production quality tool that performs translation between AUTOSAR interface descriptions and descriptions of other systems defined with a promising technology called Franca.  The tool produces bi-directional translations resulting in more rapid integration of AUTOSAR and non-AUTOSAR solutions like Linux.   

Go to the GENIVI Github repo for the code

Why FARACON ? look here

How to use the FARACON tool ? look here

contact persons

Giovanni Vergine

Klaus Birken