This talk explores how modern validation strategies can bridge the gap between simulation and real-world performance in ADAS development. It focuses on integrating Software-in-the-Loop (SiL), data-driven validation, and system-level testing to improve efficiency, robustness, and release confidence. Special attention is given to handling edge cases and ensuring traceability across the development lifecycle. The session highlights practical approaches to scaling validation while maintaining quality in increasingly complex automotive systems.

• How to combine SiL and real-world testing for efficient validation
• Strategies to handle edge cases in complex ADAS systems
• Improving release confidence through system-level validation
• Leveraging data-driven approaches to reduce test iterations
• Scaling validation processes in distributed engineering environments