Autonomous driving demands software architectures that balance scalability, safety, and adaptability across diverse vehicle platforms. This presentation explores how AI-driven designs enable real-time decision-making while meeting stringent functional safety and regulatory requirements. We will examine the integration of sensor fusion for robust perception, continuous learning through over-the-air updates, and strategies for validating complex AI systems using simulation and real-world testing. Attendees will gain insights into architectural considerations that support Level 2+ and Level 3 autonomy, ensuring performance and reliability in dynamic environments. Join us to understand how AI transforms the foundation of next-generation mobility.

In this presentation, you will learn:

• Key architectural principles for scalable AI-driven autonomous software
• How AI enhances safety and compliance in real-time decision-making
• Validation strategies combining simulation, data augmentation, and field-testing