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TrustVehicle – Improved Trustworthiness and Weather-Independence of Conditionally Automated Vehicles in Mixed Traffic Scenarios

  • Pamela Innerwinkler*
  • , Ahu Ece Hartavi Karci
  • , Mikko Tarkiainen
  • , Micaela Troglia
  • , Emrah Kinav
  • , Berzah Ozan
  • , Eren Aydemir
  • , Cihangir Derse
  • , Georg Stettinger
  • , Daniel Watzenig
  • , Sami Sahimäki
  • , Norbert Druml
  • , Caterina Nahler
  • , Steffen Metzner
  • , Sajin Gopi
  • , Philipp Clement
  • , Georg Macher
  • , Johan Zaya
  • , Riccardo Groppo
  • , Samia Ahiad
  • *Corresponding author for this work
    • Virtual Vehicle Research Center
    • University of Surrey
    • CISC Semiconductor GmbH
    • Ford Otomotiv Sanayi A.Ş
    • Tofas Turk Otomobil Fabrikasi A.S.
    • Linkker Oy
    • Infineon Technologies Austria AG
    • AVL List GmbH
    • Volvo Group
    • Ideas & Motion s.r.l.,
    • Valeo Vision SAS

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    The introduction of automated vehicles to the market raises various questions and problems. One of those problems is the trustworthiness of the automated systems and in this connection the user’s perception and acceptance. The user’s perception is especially important during SAE level 3 automated driving (L3AD), where the driver has to be able to resume vehicle control, and during the initial deployment of automated systems, where mixed traffic situations occur, in which automated and human-driven vehicles share the same road space. The Horizon 2020 project TrustVehicle aims at investigating critical scenarios, especially in mixed traffic situations and under harsh weather conditions, and at improving the trustworthiness and availability of L3AD functionalities through a user-centric approach.
    Original languageEnglish
    Title of host publicationLecture Notes in Mobility
    Subtitle of host publication Conference proceedings AMAA 2018
    EditorsJörg Dubbert, Beate Müller, Gereon Meyer
    PublisherSpringer
    Pages75-89
    ISBN (Electronic)978-3-319-99762-9
    ISBN (Print)978-3-319-99761-2
    DOIs
    Publication statusPublished - 2019
    MoE publication typeNot Eligible
    Event22nd International Forum on Advanced Microsystems for Automotive Applications, AMAA 2018 - Berlin, Germany
    Duration: 11 Sept 201812 Sept 2018
    https://link.springer.com/conference/amaa

    Publication series

    SeriesLecture Notes in Mobility
    ISSN2196-5544

    Conference

    Conference22nd International Forum on Advanced Microsystems for Automotive Applications, AMAA 2018
    Abbreviated titleAMAA 2018
    Country/TerritoryGermany
    CityBerlin
    Period11/09/1812/09/18
    Internet address

    Funding

    This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 723324.

    Keywords

    • Level 3 automated driving
    • Reliability
    • Driver-centric approach
    • co-simulation
    • HMI

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