Autonomous driving depends on seamless perception, where sensors such as LiDAR, cameras, and radar must work together to deliver accurate, real-time insights. Yet, determining the optimal sensor mix remains a challenge that varies from vehicle to vehicle.

In this webinar, experts from VI-grade and Rohde & Schwarz discuss how state-of-the-art sensor fusion, simulation, and testing solutions are accelerating the development of safer, more reliable autonomous systems.

The session covers real-time driver-in-the-loop simulation, integrated hardware validation, and automotive radar testing across R&D through production.

Key topics and takeaways:

• Understand how sensor fusion enables autonomous vehicles to make faster and more reliable decisions in dynamic environments
• Learn how real-time simulation and hardware-in-the-loop testing reduce ADAS development time while improving safety validation
• Discover best practices for automotive radar testing across the full lifecycle: from research and validation to production