The development of highly autonomous vehicles (SAE Level 3-5) faces unprecedented challenges: exponential growth in system complexity, stringent safety and cybersecurity regulations, and pressure to accelerate innovation while maintaining cost efficiency. This presentation explores how Generative AI can transform the autonomous driving development lifecycle. Drawing on real-world applications and quantitative analysis, we’ll examine how GenAI addresses the three-fold challenge of managing increasing complexity, meeting demanding standards like ISO 26262 and ISO 21434, and delivering the innovation velocity required for market leadership. The session provides practical insights into GenAI applications across perception systems, self-supervised learning, behavioral modeling, safety verification, and compliance documentation, while honestly addressing the technology’s current limitations and requirements for deployment in safety-critical autonomous driving systems.

In this session, you will deep dive into how to:

• Explore how AV system complexity is outpacing development productivity, and how functional safety standards can add to development effort
• Discover how GenAI can enhance perception, generate synthetic edge-case data, streamline requirements engineering, and accelerate testing while maintaining safety compliance
• Learn current limitations and practical workarounds when applying GenAI in AV system development.