Feature-Guided Test Scenario Generation and Analysis for Enhancing Autonomous Vehicle Safety Testing

Testing autonomous vehicles is a complicated task as there are many potential driving situations they may encounter. This thesis improves the testing process by analysing the most important components and characteristics of test scenarios and using that information to create new scenarios meant to reveal problems and malfunctions that were previously undetected. This helps to make sure that autonomous vehicles work safely and reliably.