Challenges for the Validation and Testing of Automated Driving Functions

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Advanced Microsystems for Automotive Applications 2017

Part of the book series: Lecture Notes in Mobility ((LNMOB))

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Abstract

In this paper, we will explore challenges for the validation and testing of Automated Driving Functions (ADF), which represent one of the major roadblocks for successful integration of emerging technologies into commercial vehicles. We provide an overview of current methodologies used for validation and testing, focusing on the missing parts. Furthermore, we give an insight into promising methodologies, frameworks, and research areas which aim to reduce current testing and validation efforts.

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References

  • Benmimoun M (2017) Effective evaluation of automated driving systems. SAE technical paper, 28 Mar 2017

    Google Scholar 

  • Fritsch J, Kuhnl T, Geiger A (2013) A new performance measure and evaluation benchmark for road detection algorithms. Intelligent Transportation Syst (ITSC)

    Google Scholar 

  • Wachenfeld W, Winner H (2015) Die freigabe des autonomen fahrens. In: autonomes fahren. Springer, Berlin, Heidelberg

    Google Scholar 

  • Watzenig D, Horn M (eds) (2016) Automated driving: safer and more efficient future driving. Springer

    Google Scholar 

  • Winner H, Wachenfeld W (2013) Absicherung automatischen Fahrens, 6. FAS-Tagung München, Munich

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  • www.sae.org—society of automotive engineers

  • www.enable-s3.eu—European initiative to enable validation for highly auto-mated safe and secure systems

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Acknowledgements

The project leading to this application has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant agreement No. 675999.

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Correspondence to Halil Beglerovic .

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Beglerovic, H., Metzner, S., Horn, M. (2018). Challenges for the Validation and Testing of Automated Driving Functions. In: Zachäus, C., Müller, B., Meyer, G. (eds) Advanced Microsystems for Automotive Applications 2017. Lecture Notes in Mobility. Springer, Cham. https://doi.org/10.1007/978-3-319-66972-4_15

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  • DOI: https://doi.org/10.1007/978-3-319-66972-4_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66971-7

  • Online ISBN: 978-3-319-66972-4

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