

Revolutionizing Software-Defined Architectures
Key Points
Unified Platforms across Industries
Automotive, Robotics, Avionics, Medical and Cloud
Reduced Development Costs & Time-to-Market
Software reuse up to 100% / Savings up to 50%
SW Reconfigurable Test Environment
From months to minutes -
scalable SDV architecture setup
AI Optimization
Intelligent software module placement & network configuration
CO₂ Footprint Reduction
Through AI optimization & Web Assembly – up to 20%
W3C Standards
Enable a unified approach to software development
Quick Overview
- 🔹 Project: OSxCAR – Optimized Software-defined Car Architectures
- 🔹 Duration: 06/2024 – 05/2027
- 🔹 Funding Code: EFRE-20800271
- 🔹 Consortium Leader: Aptiv Services Deutschland GmbH
- 🔹 Partners: University of Wuppertal, University of Bielefeld, paraXent GmbH, CETEQ GmbH
- 🔹 Objectives:
- SDV Platform & Testbench for heterogeneous hardware
- WebAssembly for platform-independent software
- AI for optimizing network and software distribution
Our Vision
- ✔️ More Sustainable through optimized energy efficiency
- ✔️ Safer through advanced AI-supported systems
- ✔️ More Adaptable through modular software architectures
- ✔️ Future-proof through continuous over-the-air updates
Key Technologies
Software-defined Vehicle Platform
Modular integration of software components
AI-supported Systems
Autonomous driving & predictive maintenance
WebAssembly in Vehicles
Safe and efficient execution of vehicle applications
Automated Testing Procedures
Quality assurance for complex vehicle software
Project Impact
- ➕ Reduce CO₂ emissions through more efficient vehicle software
- ➕ Strengthen digital sovereignty through European technology leadership
- ➕ Create jobs in the high-tech industry
What will I find on this website?
- ⚙️ Project Overview, Funding, Work Packages
- ⚙️ Applications & Technology Use Cases, Demonstrators, Testbench
- ⚙️ Partners Consortium
- ⚙️ Insights & Resources News, Publications, Glossary, FAQ, Downloads
Latest News
OSxCAR is funded by the EFRE/JTF programme NRW under the funding reference EFRE-20800271.



