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