As advanced driver assistance systems (ADAS) and autonomous driving (AD) technologies evolve, advanced testing has become essential to ensure precision, reliability and safety. This presentation explores the limitations of traditional testing methods, including challenges in scalability, real-world simulation and validation. It highlights innovative techniques, such as AI-driven simulations, hardware in the loop (HIL) and digital twins, that address these gaps. Attendees will learn how streamlined validation processes accelerate time-to-market while maintaining quality. Finally, the discussion will delve into emerging trends, including the integration of advanced sensors, 5G connectivity and edge computing, shaping the future of ADAS and AD testing.

• Limitations of traditional testing methods
• Challenges in scalability, real-world simulation and validation
• How streamlined validation processes accelerate time-to-market while maintaining quality
• Emerging trends