ADAS and autonomous driving systems demand validation approaches that can reliably address complex, unpredictable, and safety-critical driving scenarios. To ensure reliability and compliance for Modern systems, standards such as ISO 26262 and SOTIF continue to evolve, and engineering teams are increasingly adopting scalable, deterministic validation frameworks.
This whitepaper presents a scenario-driven validation framework powered by MathWorks RoadRunner, enabling high-fidelity virtual environments for systematic and repeatable ADAS testing. Through integration with Simulink, synthetic sensor simulation, and Hardware-in-the-Loop (HIL) architectures, the discussed framework supports closed-loop validation of perception, sensor fusion, decision-making, and vehicle control systems under deterministic conditions.
The paper further explores how simulation-driven validation enables scalable scenario orchestration, KPI-based performance evaluation, compliance traceability, and continuous testing workflows, thereby improving development efficiency and strengthening safety validation processes.
Download the whitepaper to discover how scenario-based validation can improve ADAS reliability, expand edge-case coverage, and accelerate standards-aligned autonomous system development.
