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Solving the validation challenge of automated driving with a holistic test center

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Zusammenfassung

Driver assistance and automated driving functions are already changing driving as we know it, and not simply by removing the need for human interaction. They are also making driving more enjoyable – and vastly safer. Thanks to significant improvements in software, hardware, and especially Artificial Intelligence (AI), cars will soon be able to think and make life-saving decisions completely by themselves.

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Literatur

  1. National Highway Traffic Safety Administration (2018): Automated Vehicles for Safety. Society of Automotive Engineers (SAE) Automation Levels, https://www.nhtsa.gov/technology-innovation/automated-vehicles-safety, accessed 18.12.2018.

  2. Ohnsman, Alan (2016): Toyota’s Robot-Car Line In The Sand: 8.8 Billion Test Miles To Ensure Safety, https://www.forbes.com/sites/alanohnsman/2016/10/03/toyotas-robot-car-linein-the-sand-8-8-billion-test-miles-to-ensure-safety, accessed 18.12.2018.

  3. Accenture (2018): Autonomous Vehicles: The Race Is On, available at: https://www.accenture.com/us-en/insights/communications-media/autonomousvehicles-data-challenges.

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Correspondence to Simon Tiedemann .

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© 2020 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

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Tiedemann, S., Mank, A. (2020). Solving the validation challenge of automated driving with a holistic test center. In: Bertram, T. (eds) Automatisiertes Fahren 2019. Proceedings. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-27990-5_14

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