Zusammenfassung
It is now generally accepted that it is – to a reasonable extent – impossible to test and validate automated driving functions exclusively with the help of real driving tests. It certainly makes sense to feed measurement data from the field test into an SIL environment in order to test new software versions. However, the usable amount of data is by far not sufficient for a statistical proof of safety [1].
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Literatur
W. Wachenfeld and H. Winner, “The Release of Autonomous Vehicles,” in Autonomous Driving: Technical, Legal and Social Aspects, M. Maurer, J. C. Gerdes, B. Lenz, and H. Winner, Eds.: Springer, 2016, pp. 425–449.
A. Höfer, “Purpose Driven Scenario Generation”, Autonomous Vehicle Test & Development Symposium, Stuttgart, 2018
C. Amersbach, H. Winner, „Funktionale Dekomposition – Ein Beitrag zur Überwindung der Parameterraumexplosion bei der Validation von höher automatisiertem Fahren, 12. Workshop Fahrerassistenzsysteme und automatisiertes Fahren, Walting, 2018
P. Koopman, A. Kane, J. Black, „Credible Autonomy Safety Argumentation“, 27th Safety-Critical Systems Symposium, Bristol, 2019
R. Katz, “Automated Scenario Generation for Testing ADAS Based on Postprocessed Laserscanner Data”, Apply & Innovate, Karlsruhe, 2016
T. Form, “PEGASUS Method for Assessment of Highly Automated Driving Function”, SIP-adus Workshop 2018, Tokio, 2018
M. Überbacher, P. Wolze, T. Burtsche: „ Experiencing Safety Function Testing”, ATZ worldwide, Issue 7-8/2017
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© 2020 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature
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Herrmann, M. (2020). Methodology for the generation and execution of scenarios for the virtual driving test with automated driving functions. In: Bertram, T. (eds) Automatisiertes Fahren 2019. Proceedings. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-27990-5_13
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DOI: https://doi.org/10.1007/978-3-658-27990-5_13
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