Structured validation of AI-based systems by virtual testing in simulated test scenarios
Applied Intelligence, vol. 53, pp. 18910–18924
Abstract
Abstract The growing relevance of artificial intelligence (AI) for technical systems offers significant potential for the realization and operation of autonomous systems in complex and potentially unknown environments. However, unlike classical solution approaches, the functionality of an AI system cannot be verified analytically, which is why data-driven approaches such as scenario-based testing are used. With the increasing complexity of the required functionality of the AI-based system, the quantity, and quality of the data needed for development and validation also increase. To meet this demand, data generated synthetically using simulation is increasingly being used. Compared to the acquisition of real-world reference data, simulation offers the major advantage that it can be configured to test specific scenarios of interest. This paper presents an architecture for the systematic generation of virtual test scenarios to establish synthetically generated test data as an integral part of the development and validation process for AI systems. Key aspects of this architecture are the consistent use of digital twins as virtual 1-to-1 replicas and a simulation infrastructure that enables the generation of training and validation data for AI-based systems in appropriate quantity, quality, and time. In particular, this paper focuses on the application of the architecture in the context of two use cases from different application domains.
Authors 2
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Affiliation as printed
Institute for Man-Machine Interaction, RWTH Aachen University, Ahornstraße 55, 52074, Aachen, NRW, Germany
Institute for Man-Machine Interaction, RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Institute for Man-Machine Interaction, RWTH Aachen University, Ahornstraße 55, 52074, Aachen, NRW, Germany
Institute for Man-Machine Interaction, RWTH Aachen University, Aachen, Germany
Cited by 10 stored of 11
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Cited by patents worldwide 1 (Lens.org)
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METHOD AND SYSTEM FOR IDENTIFYING CONDITIONS OF FEATURES REPRESENTED IN A VIRTUAL MODELUS20250315898A1 2025-10-09 Pending
References 13
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W3098394944details pending0citations
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