부산대학교 도서관

As safety standards for autonomous driving systems continue to rise, the need for rigorous validation methods has become increasingly urgent. This paper combines three software engineering approaches for ensuring the safety and reliability of autonomous driving systems. The first approach evaluates system's performance through scripted simulations in a co-simulation platform, mimicking real-world conditions. The second approach focuses on generating monitors to identify faults, increasing confidence in the system's correctness and safety. The third approach includes continuous integration, enabling automatic testing throughout the development process. To achieve autonomous driving testing and monitoring, we propose integrating the co-simulation and monitoring pipeline into a testing framework. This framework allows us to continuously test the system's behavior in various scenarios, ensuring the safety and reliability of the autonomous driving system before deployment. We demonstrate the effectiveness of our approach through the STRIVE platform, which provides a solution for testing and monitoring autonomous driving systems. Our results show that this approach can help developers build safe and reliable autonomous driving systems, addressing a critical need in the industry from the first day of the system's development.