• What are the main technological and commercial hurdles to scaling AVs, and how can they be overcome?
• How can we balance high-performance technology with affordability in mass-market AVs?
• What is the role of industry and regulatory partnerships in scaling AV deployment?
• How can we create win-win strategies for businesses, regulators, and consumers in AV adoption?
• What infrastructure improvements are needed to support AVs in both cities and rural areas?

• How can we integrate functional safety, cybersecurity, and SOTIF to address both predictable and unpredictable risks in autonomous vehicles?
• What are the biggest challenges in defining safety goals and acceptance criteria for autonomous vehicle systems across different operational domains?
• How can simulation-based validation and real-world testing be effectively combined to demonstrate system safety with sufficient coverage and statistical confidence?
• What methods and tools are critical for tracing safety requirements through the entire V-Model from HARA to validation?
• How can cross-disciplinary collaboration between safety, cybersecurity, and AI teams enhance system safety without hindering innovation?

As AV technology advances toward mass production, the complexity of validating safety across countless real-world scenarios grows exponentially. Traditional physical testing methods are no longer sufficient to ensure the reliability of AV systems under diverse and unpredictable conditions. This presentation will explore how advanced software simulation, combined with large-scale scenario scanning, enables comprehensive validation of autonomous systems in a scalable, efficient, and cost-effective manner. We will dive into best practices for creating realistic simulation environments, automating scenario generation, and identifying rare or edge-case events critical to AV safety. The session will highlight current industry approaches, technical challenges, and the future direction of simulation-based validation for autonomous driving.

In this session, you will:

• Understand how high-fidelity simulation environments and scenario scanning help uncover safety-critical edge cases that traditional testing would miss
• Learn best practices for integrating simulation workflows into the AV development and validation process to reduce time-to-market
• Explore the role of AI and automation in scaling scenario generation, risk assessment, and continuous safety improvement