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Autonomous parking system user interface – assessment of visual behavior

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F21%3A00351482" target="_blank" >RIV/68407700:21260/21:00351482 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9447390" target="_blank" >https://ieeexplore.ieee.org/document/9447390</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SCSP52043.2021.9447390" target="_blank" >10.1109/SCSP52043.2021.9447390</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Autonomous parking system user interface – assessment of visual behavior

  • Original language description

    Urban comfort and safety go along with travel and traffic management for the cities. Facing automatization of transport brings necessity for the ITS solutions to provide efficient communication between vehicles, infrastructure and other traffic participants. Parking in the cities is a daily travel related task. Efficient automated parking solutions can contribute to individual time management as well as to reduction of traffic flow that is connected with parking spot search - especially in big cities. User acceptance of new technologies that arise with automated driving depends on their usability and interface. This paper presents a pilot demonstration of automated parking function with a mobile app interface. Observation of visual behavior (eye tracking) provide analyses of automated parking function and mobile app of modified electric prototype of e-vehicle "Skoda Rapid".

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20104 - Transport engineering

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2021 Smart City Symposium Prague

  • ISBN

    9780738131580

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    IEEE Signal Processing Society

  • Place of publication

    Piscataway

  • Event location

    Prague

  • Event date

    May 27, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article