The autonomous vehicle industry is rapidly evolving and with it, the processes and frameworks used in the development and deployment of these vehicles. The presentation explores the evolution of system engineering practices for autonomous vehicles and how they have adapted to meet the challenges of scalability. She delves into the current challenges facing the industry, including managing AI requirements and scaling to multiple platforms. Additionally, it explains the industry’s current efforts to prepare for scaling, including the development of new processes and frameworks.

• Gain insights into current scalability challenges in the AV industry and learn about solutions for addressing them
• Get a better understanding of the evolution of systems engineering practices and how they are adapting to meet new requirements
• Learn about strategies for managing AI requirements and scaling to multiple platforms in the AV industry

• 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?