Automated driving is attracting considerable attention from industry, road authorities and consumers. Testing is crucial to convince the market that autonomous vehicles are reliable and safe. Virtual validation offers an efficient and systematic way to test these systems. Such validation requires simulation environments that are very similar to the real world and include control algorithms, traffic scenario options, sensor models and vehicle dynamics representations.
In this presentation, we will first show different options for creating virtual driving scenarios. These options include designing virtual driving scenarios using scripts and graphical user interfaces, importing scenarios from existing libraries and generating scenarios using data recorded by in-vehicle sensors. In a second section we explain how to programmatically create variations of an existing scenario. The generated scenarios can be used in closed-loop simulations to model and test controllers.