GENIVI is actively investigating essential standards and solutions needed to enable a fully data-oriented, connected vehicle architecture. In just a few years, connected cars will become the predominant form of automotive transportation. A number of actors are working at breaking down the barriers to adoption for mobility services based on automotive data and helping drivers, communities, mobility services, aftermarket and repair services and automotive manufacturers extract the most value from that data. But this has already resulted in a somewhat fragmented ecosystem where different actors are using different solutions to access the data of connected cars.
As an example of the fragmentation, we have identified competing commercial initiatives that are developing mostly proprietary solutions, and more than one partly overlapping collaborative efforts. Several start-ups are already active for delivering data of production vehicles to the market place in the short term.
As more of the solutions also involve public infrastructure, including the smart cities concept, the time for finding a common approach is imminent. We have gathered a list of collaborative projects that look at various facets of the same topic on a mid to long term.
A priority topic emerging from this analysis is the need to agree on an industry-wide common data model. GENIVI has already delivered an overview and gap analysis for the different data models used by these collaborative projects. This first deliverable is available here.
In addition to the above usage, more and more automotive functions exchange data with the cloud-based back-end or execute partly using cloud computing. This back-end provides the basis for various innovative applications and functions that can execute with support of the cloud. These functions include autonomous driving, enhanced speech recognition and security-related system behavior analysis, and many more.
GENIVI believes there is a need to join forces and harmonize activities to realize the full data-oriented connected vehicle architecture.
The current alliance work on data-driven connected vehicle software architecture is an important step towards achieving the seamless coupling of the in-vehicle and back-end architectures, and delivering an end-to-end vehicle computing platform. This end-to-end platform leverages existing standards and solutions, but some gaps exist and an overall interoperability is still far from achieved. We are convinced the GENIVI work will help the automotive industry take a big step toward the future when the in-vehicle software, E/E architecture and the back-end architecture will be moving closer together.
The Cloud & Connected Services (CCS) project team has made a major step forward during Q1, 2020 with the initial design of an end-to-end vehicle-to-cloud communication framework. This framework incorporates technology components identified by various collaborative projects such as W3C Gen 2 protocol built on VSS2, GraphQL, ISO Extended Vehicle Neutral Server. It clarifies connections to in-car technologies such as AUTOSAR-defined SOME/IP and several others.
The team plans to implement a proof-of-concept demonstrator in order to validate the reference architecture of the communication framework. There is work breakdown structure for this work available here. We are now in the process of recruiting volunteers to help with the development activities.
The CCS proof-of-concept project roadmap is organized around 4 demonstrable milestones:
All contributors are welcome! Now is the right time to join the team and share your expertise in some implementation and test activities. For questions about how to join the team, please contact GENIVI PMO Lead or GENIVI Development Lead.