An Empirically Grounded Path Forward for Scenario-Based Testing of Autonomous Driving Systems
Testing of autonomous driving systems (ADS) is a crucial, yet complex task that requires different approaches to ensure the safety and reliability of the system in various driving scenarios. Currently, there is a lack of understanding of the industry practices for testing such systems, and also the related challenges. To this end, we conduct a secondary analysis of our previous exploratory study,
