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An Approach to Systematic Data Acquisition and Data-Driven Simulation for the Safety Testing of Automated Driving Functions
May 6, 2024, 4:42 a.m. | Leon Eisemann, Mirjam Fehling-Kaschek, Henrik Gommel, David Hermann, Marvin Klemp, Martin Lauer, Benjamin Lickert, Florian Luettner, Robin Moss, Nicol
cs.LG updates on arXiv.org arxiv.org
Abstract: With growing complexity and criticality of automated driving functions in road traffic and their operational design domains (ODD), there is increasing demand for covering significant proportions of development, validation, and verification in virtual environments and through simulation models.
If, however, simulations are meant not only to augment real-world experiments, but to replace them, quantitative approaches are required that measure to what degree and under which preconditions simulation models adequately represent reality, and thus, using their …
abstract acquisition arxiv automated complexity cs.ai cs.cv cs.hc cs.lg cs.ro data data-driven demand design development domains driving environments functions safety simulation testing through traffic type validation verification virtual virtual environments
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