The Eclipse Software Defined Vehicle (SDV) Working Group has 38 members working on 19 projects, "offering an open technology platform for the software defined vehicle of the future; focused on accelerating innovation of automotive-grade in-car software stacks using open standards to help support a vivid community".
Recently, the working group has celebrated its one year anniversary and has released initial blueprints which are used to showcase the technology being developed in the working group by means of real-world use cases.
In this talk I will present the Truck Fleet Management blueprint which is focused on capitalizing on all the data that a fleet of trucks generates. Fleet managers want to be able to capture and make use of where vehicles are, how fast they’re going, and other details. This problem domain is already addressed by commercial vendors offering Fleet Management System (FMS) software-as-a-service , mostly using vendor and vehicle specific telematics units (black boxes) which need to be installed to the vehicle to extract data and transmit to a cloud back end. Clients of such solutions often complain about hardware and software vendor lock-in, which results in high costs for adding vehicles of additional brands and/or migrating to a different FMS vendor.
In contrast to this, we built the Truck Fleet Management blueprint with open source technology which the members of the SDV Working Group and other communities have created.
In this talk I will first introduce the overall problem domain and some relevant industry standards. I will then illustrate how fleet managers can reduce the total cost of ownership by relying on standards and open source software. Based on that, the audience will learn which projects of the SDV working group have been used to implement the blueprint solution and how the overall architecture of the system looks like.
Finally, we will showcase the system in action, transferring vehicle data to a cloud back end from where the information can be retrieved using standard APIs or visualized in a Grafana dashboard.
