Sammanfattning jämte 5 uppsatser

Diss. Lund : Lunds universitet, 2024

Testing is imperative to validate the functionalities and safety of autonomous driving systems. Simulated scenario-based testing is commonly adopted for autonomous driving systems, which aims to construct various driving scenarios and validate the autonomous driving systems in simulation. Nevertheless, identifying relevant test scenarios, especially critical ones that expose hazards or risks of harm to autonomous vehicles remains an open challenge. We focus on critical scenario identification for testing of realistic autonomous driving systems in this thesis. Specifically, our objective is to establish an effective approach for identifying critical scenarios for testing of industrial autonomous driving systems. Also, we aim to explore and improve current practices of testing autonomous driving systems with critical scenarios in industry. We follow the design science research paradigm and perform two iterations of the design research cycle in this thesis. The first iteration focuses on the first objective of the thesis to design an approach for critical scenario identification. In the second iteration, we explore industry practices of using critical scenarios for testing of autonomous driving systems, and propose a preliminary solution to evaluate the realism of such scenarios and improve their validity.