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A Taxonomy for Quality in Simulation-based Development and Testing of Automated Driving Systems

Schütt, Barbara and Steimle, Markus and Kramer, Birte and Behnecke, Danny and Sax, Eric (2022) A Taxonomy for Quality in Simulation-based Development and Testing of Automated Driving Systems. IEEE Access, pp. 1-14. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/ACCESS.2022.3149542. ISSN 2169-3536. (In Press)

[img] PDF - Postprint version (accepted manuscript)


Ensuring the quality of automated driving systems is a major challenge the automotive industry is facing. In this context, quality defines the degree to which an object meets expectations and requirements. Especially, highly automated and automated vehicles at SAE level 4 and 5 will be expected to operate safely in various contexts and complex situations without misconduct. Thus, a systematic approach is needed to show their safe operation. A way to address this challenge is simulation-based testing as pure physical testing is not feasible for automated driving at level 4 and 5 since several billion kilometers of driving are necessary. During simulation-based testing, the data used to evaluate the actual quality of an automated driving system are generated using a simulation. However, to rely on these simulation data, the overall simulation, which also includes its simulation models, must provide a certain quality level. This quality level depends on the intended purpose for which the generated simulation data should be used. Therefore, three categories of quality can be considered: simulation quality (e.g., reliable simulation tool), quality of the automated driving system (e.g., handling of dangerous situations), and scenario quality (e.g., scenario criticality). Quality must be determined and evaluated in various process steps in developing and testing automated driving systems, the overall simulation, and the simulation models used for the simulation. In this paper, we propose a conceptual taxonomy to serve a better understanding of quality in the development and testing process to have a clear separation and insight where further testing is needed – both in terms of automated driving systems and simulation, including their simulation models and scenarios used for testing

Item URL in elib:https://elib.dlr.de/148713/
Document Type:Article
Title:A Taxonomy for Quality in Simulation-based Development and Testing of Automated Driving Systems
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Schütt, BarbaraUNSPECIFIEDhttps://orcid.org/0000-0001-8439-0322UNSPECIFIED
Steimle, MarkusUNSPECIFIEDhttps://orcid.org/0000-0001-8913-6980UNSPECIFIED
Kramer, BirteUNSPECIFIEDhttps://orcid.org/0000-0002-9982-0206UNSPECIFIED
Behnecke, DannyUNSPECIFIEDhttps://orcid.org/0000-0001-5228-5640UNSPECIFIED
Journal or Publication Title:IEEE Access
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Page Range:pp. 1-14
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Status:In Press
Keywords:Automated driving, criticality, metrics, PEGASUS family, quality, scenario, scenario-based testing, simulation, taxonomy, validation, verification
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - Zukunftsbilder eines automatisierten integrierten Verkehrssystems (old)
Location: Braunschweig , Oldenburg
Institutes and Institutions:Institute of Transportation Systems
Institute of Systems Engineering for Future Mobility
Institute of Transportation Systems > Information Flow Modelling in Mobility Systems, BS
Deposited By: Behnecke, Danny
Deposited On:16 Feb 2022 11:04
Last Modified:24 Jan 2023 12:33

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