The study emphasizes the importance of intelligent driving functions in enhancing road safety and comfort, particularly in high-risk, safety-critical scenarios. These situations often lack sufficient data due to their complexity and risks. The research introduces a novel methodology to create diverse and realistic safety-critical driving scenarios. The approach broadens the testing spectrum for driver assistance systems and autonomous vehicle functions, focusing on the follow-up drive scenario. Here, vehicle movements are intricately modeled using kinematic equations, incorporating factors like driver reaction times. The use of the Difference Space Stopping (DSS) metric is crucial in the safety evaluation of follow-up drives, facilitating a more comprehensive validation process and enhancing the reliability and safety assessment of driver assistance and autonomous driving systems.
Publication date: 4 Feb 2024
Project Page: https://arxiv.org/abs/2402.02598v1
Paper: https://arxiv.org/pdf/2402.02598
