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Use of Intelligent Navigation and Crowd Collaboration for Automated Collection of Data on Transport Infrastructure

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26742659%3A_____%2F22%3AN0000002" target="_blank" >RIV/26742659:_____/22:N0000002 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.18267/j.aip.195" target="_blank" >https://doi.org/10.18267/j.aip.195</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Use of Intelligent Navigation and Crowd Collaboration for Automated Collection of Data on Transport Infrastructure

  • Original language description

    The article briefly presents the main results of an applied research project to the professional public. The project output is a solution that enables the recognition of selected types of traffic signs using artificial intelligence for image recognition. This computationally intensive process is implemented in mobile phones. In order to achieve the involvement of the general public in the collection of data on transport infrastructure, the entire solution is part of navigation for mobile phones and supported by two functions that motivate users to collect data, i.e., scan the area in front of the vehicle with the phone's camera.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    20202 - Communication engineering and systems

Result continuities

  • Project

    <a href="/en/project/CK01000099" target="_blank" >CK01000099: New methods of using ITS application for automatic collection of traffic infrastructure data</a><br>

  • Continuities

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

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Acta Informatica Pragensia

  • ISSN

    1805-4951

  • e-ISSN

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    9

  • Pages from-to

    458-466

  • UT code for WoS article

  • EID of the result in the Scopus database