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Passage Detection of a Train via a Reference Point

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F23%3A39921213" target="_blank" >RIV/00216275:25530/23:39921213 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-981-99-8703-0_10" target="_blank" >https://link.springer.com/chapter/10.1007/978-981-99-8703-0_10</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-981-99-8703-0_10" target="_blank" >10.1007/978-981-99-8703-0_10</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Passage Detection of a Train via a Reference Point

  • Original language description

    A reference point detection system for position validation of a mobile object was developed for verification of experiments. The detection is based on a classic image processing algorithm and a processing algorithm using neural networks. Both approaches are compared. High-precision concept of the system is based on a camera sensor and automatic processing of video frames for position evalua-tion. The designed system was tested on a real application proving correct operation.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    <a href="/en/project/EF17_049%2F0008394" target="_blank" >EF17_049/0008394: Cooperation in Applied Research between the University of Pardubice and companies, in the Field of Positioning, Detection and Simulation Technology for Transport Systems (PosiTrans)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    AETA 2022-Recent Advances in Electrical Engineering and Related Sciences: Theory and Application (Lecture Notes in Electrical Engineering - LNEE, vol. 1081)

  • ISBN

    978-981-9987-02-3

  • ISSN

    1876-1100

  • e-ISSN

    1876-1100

  • Number of pages

    10

  • Pages from-to

    519-528

  • Publisher name

    Springer

  • Place of publication

    Singapur

  • Event location

    Ho Či Minovo město

  • Event date

    Dec 8, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article