As software-defined vehicles evolve toward higher levels of autonomy, Linux has become the operating system of choice for high-performance automotive computing. However, moving from connected and updateable vehicles to SDV Level 3–4 architectures introduces new challenges around system architecture, lifecycle management, and safety assurance.
This presentation explores how Linux-based platforms can scale to meet the requirements of autonomous driving, and how safety can be enabled on Linux without compromising openness, flexibility, or long-term maintainability. The talk discusses architectural considerations and design patterns that support both rapid innovation and safety-critical operation in SDV environments.
Key topics and takeaways:
- How SDV maturity levels shape software architectures for AD and ADAS
- How safety can be enabled for Linux-based systems in autonomous driving contexts
- Which architectural principles support scalable, safety-ready SDV platforms over long vehicle lifecycles
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