The rise of Software-Defined Vehicles (SDVs) is bringing embedded artificial intelligence to the core of modern automotive architectures. But deploying AI in vehicles comes with major challenges — including performance constraints, hardware heterogeneity, safety requirements, portability, and long-term software maintainability.
This session introduces Eclipse Aidge, a collaborative open source framework designed to simplify the deployment, optimisation, and execution of AI models on embedded automotive systems.
In this talk, you’ll learn:
🔹 How Eclipse Aidge fits into the SDV ecosystem
🔹 How it integrates with automotive software stacks
🔹 AI optimization techniques such as model compression
🔹 Architectural principles that ensure portability across diverse hardware platforms
🔹 How embedded AI frameworks can support automotive safety requirements
Discover how open-source embedded AI frameworks like Eclipse Aidge help build interoperable, sustainable, and SDV-ready software platforms — enabling efficient AI deployment across constrained and heterogeneous automotive environments.
If you're interested in SDVs, embedded AI, automotive software architectures, or open-source innovation, this session offers valuable technical insights into the future of AI in vehicles.
More about Aidge: https://projects.eclipse.org/projects/technology.aidge
#SDV #EmbeddedAI #AutomotiveSoftware #EclipseAidge #OpenSource #SoftwareDefinedVehicles
