Determining the Validity of Simulation Models for the Verification of Automated Driving Systems

• Published in: IEEE access Vol. 11; pp. 102949 - 102960
• Main Authors: Neurohr, Birte, Koopmann, Tjark, Mohlmann, Eike, Franzle, Martin
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Computational modeling; Environment models; Markov chains; Markov processes; Markov random fields; maximum mean discrepancy; Measurement; Quality assessment; Safety; Simulation; Simulation models; Testing; two-sample tests; Uncertainty; validity; Vehicle dynamics; Verification

As the verification of automated driving systems poses an immense challenge, recent approaches aim for a virtualization of such efforts using computer simulations. This goal, however, motivates a strong need for trustworthy simulation environments and models. As to assess the modeling quality, this...