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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20104 - Transport engineering
Result continuities
Project
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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
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e-ISSN
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Number of pages
6
Pages from-to
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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
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