As autonomous vehicles progress toward widespread deployment, ensuring their safety is paramount. a comprehensive approach to system safety, focusing on methods to identify, assess, and mitigate risks across the entire autonomous driving technology stack considers rigorous safety protocols at every stage of development and deployment, from safety-critical sensor fusion to fail-safe mechanisms and real-time decision-making. The session will explore a safety validation framework that combines simulation, closed-course testing, and real-world operation, ensuring vehicles meet the highest safety standards under diverse driving conditions. Additionally, it will examine engagement with regulators, industry standards, and safety research to shape the future of autonomous vehicle safety. Attendees will gain insights into strategies for continuous safety improvement through data-driven feedback, human oversight, and cutting-edge technology, contributing to the safe and scalable deployment of autonomous vehicles worldwide.

In this session, you will get a better understanding of:

• Strategies for continuous safety improvement through data-driven feedback, human oversight, and cutting-edge technology to enhance AV safety
• Incorporation of safety protocols at every stage of development and deployment, from safety-critical sensor fusion to fail-safe mechanisms and real-time decision-making
• The role of cutting-edge technologies in ensuring scalable and safe deployment of autonomous vehicles

• 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?