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Parking lot occupancy detection using computational fluid dynamics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088426" target="_blank" >RIV/61989100:27240/13:86088426 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007%2F978-3-319-00969-8_72" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-00969-8_72</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-00969-8_72" target="_blank" >10.1007/978-3-319-00969-8_72</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Parking lot occupancy detection using computational fluid dynamics

  • Original language description

    In this paper, we present an algorithm for estimating the occupancy of individual parking spaces. Our method is based on a computer analysis of images obtained by a camera system monitoring the activities on a parking lot. The main idea is to use the a~priori available information about the parking lot geometry and the general shape of common cars to obtain a reliable status of a parking space. We strive to avoid the training phase as much as possible to reduce the time required to bring the system intofully operational state. To achieve this goal, we focus on a probabilistic car model and a physically based feature extraction using computational fluid dynamics. Despite the fact that the very first system of such kind has appeared more than forty years earlier, this area is still an active research topic and a completely satisfactory solution has not been found yet.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013

  • ISSN

    2194-5357

  • e-ISSN

  • Volume of the periodical

    226

  • Issue of the periodical within the volume

    2013

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    10

  • Pages from-to

    733-742

  • UT code for WoS article

  • EID of the result in the Scopus database