In this free webinar, IAV’s Max Winkelmann demonstrates the usage of IAV Valdivia Sample for the intelligent parametrization of driving scenarios.

Complex driving functions must handle scenarios with a vast amount of parameter combinations. IAV Valdivia Sample is a tool, which uses machine learning methods to find the relevant scenarios, reducing simulation efforts for SiL and HiL by up to 80% and time on testing grounds. The solution provides data vital for release and is easily integrable into almost any toolchain.

Key topics and takeaways:

• Learn about the importance of virtual tests for automated vehicles.
• Explore the need for intelligent scenario selection for validation.
• Understand how scenarios can be parameterized in a transparent, scalable way.
• See how data analysis helps you to improve your driving functions.
• Experience the integration of our service via its powerful APIs.