Zusammenfassung
Endurance testing is one of the final vehicle development steps before a vehicle is approved for mass production and is released to the worldwide markets. At Mercedes-Benz, this is one of the most important testing activities that ensure the highest quality standards and guarantee customer satisfaction. During the endurance testing phase, a fleet of vehicles is driven in a multitude of different driving profiles in different testing locations all around the world, on both public roads and proving grounds.
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Literatur
M. Murt and F. Kistler. Dauerlauferprobung durch automatisiertes Testfahren. Daimler EDM CAE Forum, 2019.
S. Russel and P. Norvig. Artificial Intelligence – A modern approach. Pearson Education, Upper Saddle River, New Jersey 07458, 2011.
D. S. Meek and D. J. Walton. A note on finding clothoids. Journal of Computational and Applied Mathematics, 170(2):433 – 453, 2004. ISSN 0377-0427. URL: http://www.sciencedirect.com/science/article/pii/S0377042704000925.
L. Wanninger. Introduction to Network RTK. IAG-Working Group 4.5.1: Network-RTK, 2018. URL: http://www.wasoft.de.
M. Keckeisen and K. Kufieta. Tronis: The Virtual Environment Towards Prototy** and Testing Autonomous Driving. GTC Silicon Valley, 2017. URL: https://on-demand-gtc.gputechconf.com/gtcnew/sessionview.php?sessionName=s7830-tronis%3a+the+virtual+environment+towards+prototy**+and+testing+autonomous+driving
K. Kufieta K. and Ditze M. A virtual environment for the development and validation of highly automated driving systems. 17. Internationales Stuttgarter Symposium, Proceedings, 2017. Springer Vieweg, Wiesbaden.
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Kistler, F., Nadj, M., Reifenrath, HP., Staudacher, S., Keckeisen, M. (2020). Vehicle endurance testing through automated test driving. In: Bargende, M., Reuss, HC., Wagner, A. (eds) 20. Internationales Stuttgarter Symposium . Proceedings. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-29943-9_30
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DOI: https://doi.org/10.1007/978-3-658-29943-9_30
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