Synthetic data and simulation testing are essential to increase the efficiency and robustness of ADAS/AV system developments. Here we explore the latest research findings and live use cases showing the recent progress made in understanding AI-based perception systems' use of synthetic data, and where new technology developments are delivering the highest-fidelity simulation testing for the wide automotive market use cases. The latest advances in detailed camera, radar and lidar modeling will be explored alongside flexible ground-truth data options, which combine to give automotive engineers the chance to tune, train and test their sensor, perception and control stacks.

• Latest research findings in understanding how AI perception systems see synthetic data alongside real-world data
• Latest advances in detailed camera, radar and lidar modeling – producing the highest-fidelity synthetic data
• Successful use cases where synthetic data has proved to advance the efficiency of system developments
• How AV Elevate, powered by rFpro, allows engineers to tune, train and test ADAS and AV systems