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Towards Collaborative Perception for Automated Vehicles in Heterogeneous Traffic

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Advanced Microsystems for Automotive Applications 2018 (AMAA 2018)

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

Abstract

In the near future Automated Vehicles (AVs) will be part of the vehicular traffic on the roads. Normally, all automation levels will be granted on the road based on the different road situations, but challenging situations will still exist that AVs will not be able to handle safely and efficiently. AVs driving at a high automation level may step down to the lower automation level and handover the partial/full control to the driver when the automation system reaches its functional system limits or encounters unexpected situations. This paper briefly explains the H2020 TransAID project covering the transition phases between different levels of automation. It will review related work and introduce the concept to investigate automation level changes. Furthermore, the collective sensor data processing architecture using for demonstrators and the selected use cases are presented.

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Acknowledgement

This work has been supported by the EC within the Horizon 2020 Framework Programme, Project TransAID under Grant Agreement No. 723390.

Author information

Authors and Affiliations

  1. Institute of Transportation Systems, German Aerospace Center (DLR), Lilienthalpl. 7, 38108, Braunschweig, Germany

    Saifullah Khan & Julian Schindler

  2. Institute of Transportation Systems, German Aerospace Center (DLR), Rutherfordstr. 2, 12489, Berlin, Germany

    Franz Andert & Nicolai Wojke

  3. Universidad Miguel Hernandez de Elche, 03202, Elche, Spain

    Alejandro Correa

  4. MAP Traffic Management, Ptolemaeuslaan 54, 3528 BP, Utrecht, Netherlands

    Anton Wijbenga

Authors
  1. Saifullah Khan
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  2. Franz Andert
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  3. Nicolai Wojke
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  4. Julian Schindler
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  5. Alejandro Correa
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  6. Anton Wijbenga
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Corresponding author

Correspondence to Julian Schindler .

Editor information

Editors and Affiliations

  1. VDI/VDE Innovation + Technik GmbH, Berlin, Germany

    Jörg Dubbert

  2. VDI/VDE Innovation + Technik GmbH, Berlin, Germany

    Beate Müller

  3. VDI/VDE Innovation + Technik GmbH, Berlin, Germany

    Gereon Meyer

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Khan, S., Andert, F., Wojke, N., Schindler, J., Correa, A., Wijbenga, A. (2019). Towards Collaborative Perception for Automated Vehicles in Heterogeneous Traffic. In: Dubbert, J., Müller, B., Meyer, G. (eds) Advanced Microsystems for Automotive Applications 2018. AMAA 2018. Lecture Notes in Mobility. Springer, Cham. https://doi.org/10.1007/978-3-319-99762-9_3

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  • DOI: https://doi.org/10.1007/978-3-319-99762-9_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99761-2

  • Online ISBN: 978-3-319-99762-9

  • eBook Packages: EngineeringEngineering (R0)

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