GAIA-X4 PLC-AAD

Automotive OEMs and suppliers face growing challenges in developing automated and connected driving functions due to complex software-hardware integration and deep, data-driven supply chains. Efficient, traceable data exchange is crucial. Gaia-X4PLC-AAD leverages open, distributed data ecosystems to enable secure, regulated data sharing across the entire product lifecycle—from design to continuous virtual validation. By defining information models, data architectures, and processes, the project enhances trust, interoperability, and efficiency. Test environments for automated driving functions and sensors are integrated, with interfaces ensuring broader applicability across industries. We will present results from Gaia-X4PLC-AAD, a project funded by the German Ministry for Economic Affairs and Climate Action (BMWK), which concluded in March 2025.

Gaia-X as an Enabler for Industrial Data Sovereignty - Operational Design Domains (ODD) for Safe and Scalable Automation

Challenges of Simulation as a Service in a Marketplace - How to setup an Open Source Co-Simulation Example with OSTAR?

Co-Simulation with Perception Sensor Models (Simspector) - OpenMSL & Credibility Assessment Level (CL) for Perception Sensor Models - Sensor Performance Test Benches for Model Validation - Model Validation in Practice

• public validation concept in the OVAL ecosystem 
• creation, meta-data description and provision of simulation models and reusable validation datasets 
• concept and design of public accepted validation metrics 
• traceable quality proofs and re-validation of simulation models 
•  added value in validation strategies and vehicle type approval

Today's automotive use cases require a variety of assets including HD maps, scenarios and 3D environments for simulation, testing, validation and certification. An asset provisioning and acquisition workflow has been established within the Gaia-X 4 PLC-AAD to enable asset marketplaces with large amounts of assets for a variety of test cases and scenarios. The data provider can automatically extract metadata according to the ontologies, create archives and upload to data platforms. End users get direct access to the data, including advanced search capabilities to meet very specific requirements.

Introducing the data processing service extension - How can the Gaia-X ecosystem reduce time and cost of automated testing?

• Determination of Reliability, Availability and Safety for E/E/PE/AI-systems 
• Combined Functional Safety (ISO 26262), SOTIF (ISO 21448) and CyberSecurity (ISO 21434) approach 
• Realistic Reliability, Availability and Safety simulation for HW/SW
• Stacks including FDIR-proess (Failure Detection, Isolation, Recovery)