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cs.AI2026
Uncertainty-Aware Measurement of Scenario Suite Representativeness for Autonomous Systems
Robab Aghazadeh Chakherlou, Siddartha Khastgir, Xingyu Zhao +2
Assuring the trustworthiness and safety of AI systems, e.g., autonomous vehicles (AV), depends critically on the data-related safety properties, e.g., representativeness, completen…
cs.AI2026
Quantifying Fidelity: A Decisive Feature Approach to Comparing Synthetic and Real Imagery
Danial Safaei, Siddartha Khastgir, Mohsen Alirezaei +4
Virtual testing using synthetic data has become a cornerstone of autonomous vehicle (AV) safety assurance. Despite progress in improving visual realism through advanced simulators…