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A Human-Machine Interface for Cooperative Highly Automated Driving

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Advances in Human Aspects of Transportation

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 484))

Abstract

Cooperative perception of the traffic environment will enable Highly Automated Driving (HAD) functions to provide timelier and more complex Take-Over Requests (TOR) than it is possible with vehicle-localized perception alone. Furthermore, cooperative perception will extend automated vehicles’ capability of performing tactic and strategic maneuvers independently of any driver intervention (e.g., avoiding of obstacles). In this paper, resulting challenges to the design of the Human-Machine Interface (HMI) are discussed and a prototypical HMI is presented. The prototype is evaluated by experts from the field of cognitive ergonomics in a small-scale simulator study.

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Acknowledgments

This work partly results from the joint project Ko-HAF—Cooperative Highly Automated Driving and has been funded by the Federal Ministry for Economic Affairs and Energy based on a resolution of the German Bundestag. We would like to thank Samantha Fritzsch for her support with the graphical HMI design and Martin Grein for the implementation of the HAD function in the driving simulation. Both Samantha Fritzsch and Martin Grein are with WIVW.

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Authors and Affiliations

  1. Center for Traffic Sciences, University of Würzburg, Röntgenring 11, 97070, Würzburg, Germany

    Frederik Naujoks & Alexandra Neukum

  2. Würburg Institute for Traffic Sciences, Robert-Bosch-Straße 4, 97209, Veitshöchheim, Germany

    Yannick Forster & Katharina Wiedemann

Authors
  1. Frederik Naujoks
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  2. Yannick Forster
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  3. Katharina Wiedemann
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  4. Alexandra Neukum
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Corresponding author

Correspondence to Frederik Naujoks .

Editor information

Editors and Affiliations

  1. Faculty of Engineering and the Environme, University of Southampton Faculty of Engineering and the Environme, Southampton, United Kingdom

    Neville A. Stanton

  2. Purdue University , West Lafayette, IN, USA

    Steven Landry

  3. Dipartimento di Architettura, Università degli Studi “G.d’Annunzio” Chiet, Pescara, Italy

    Giuseppe Di Bucchianico

  4. Dipartimento di Architettura, Università degli Studi “G.d’Annunzio” Chiet, Pescara, Italy

    Andrea Vallicelli

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Naujoks, F., Forster, Y., Wiedemann, K., Neukum, A. (2017). A Human-Machine Interface for Cooperative Highly Automated Driving. In: Stanton, N., Landry, S., Di Bucchianico, G., Vallicelli, A. (eds) Advances in Human Aspects of Transportation. Advances in Intelligent Systems and Computing, vol 484. Springer, Cham. https://doi.org/10.1007/978-3-319-41682-3_49

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  • DOI: https://doi.org/10.1007/978-3-319-41682-3_49

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41681-6

  • Online ISBN: 978-3-319-41682-3

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