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Evaluation Uncertainty in Data-Driven Self-Driving Testing., , , and . ITSC, page 1902-1907. IEEE, (2019)Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems., , , , , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 595-603. PMLR, (2021)A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods., , , , and . ACC, page 4796-4802. IEEE, (2018)Designing an Optimized Electric Vehicle Charging Station Infrastructure for Urban Area: A Case study from Indonesia., , , and . ITSC, page 2812-2817. IEEE, (2022)Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation., , , and . CoRR, (2019)SAnE: Smart Annotation and Evaluation Tools for Point Cloud Data., , , , , , , and . IEEE Access, (2020)A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective., , , , , and . IEEE Trans. Intell. Transp. Syst., 24 (7): 6971-6988 (2023)Density-Adaptive Sampling for Heterogeneous Point Cloud Object Segmentation in Autonomous Vehicle Applications., , , , , and . CVPR Workshops, page 26-33. Computer Vision Foundation / IEEE, (2019)Certifiable Evaluation for Autonomous Vehicle Perception Systems using Deep Importance Sampling (Deep IS)., , , , , , and . ITSC, page 1736-1742. IEEE, (2022)Synthesis of Different Autonomous Vehicles Test Approaches., , , and . ITSC, page 2000-2005. IEEE, (2018)