<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>4325</id>
    <completedYear>2023</completedYear>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>movingimage</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-12-11</completedDate>
    <publishedDate>2023-12-11</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">ARGUS - Aerial Rescue and Geospatial Utility System</title>
    <abstract language="deu">ARGUS is a tool for the systematic acquisition, documentation and evaluation of drone flights in rescue operations. In addition to the very fast generation of RGB and IR orthophotos, a trained AI can automatically detect fire, people and cars in the images captured by the drones. The video gives a short introduction to the Aerial Rescue and Geospatial Utility System -- ARGUS&#13;
&#13;
Check out our Github repository under &#13;
https://github.com/RoblabWh/argus/&#13;
&#13;
You can find the dataset on kaggle under&#13;
https://www.kaggle.com/datasets/julienmeine/rescue-object-detection</abstract>
    <identifier type="urn">urn:nbn:de:hbz:1010-opus4-43254</identifier>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Creative Commons - Namensnennung</licence>
    <author>Julien Meine</author>
    <author>Niklas Voigt</author>
    <author>Jan-Niklas Kremer</author>
    <author>Niklas Digakis</author>
    <author>Max Schulte</author>
    <author>Hartmut Surmann</author>
    <collection role="ddc" number="004">Datenverarbeitung; Informatik</collection>
    <collection role="institutes" number="FB 3">Informatik und Kommunikation</collection>
    <thesisPublisher>Westfälische Hochschule Gelsenkirchen Bocholt Recklinghausen</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-w-hs/files/4325/ARGUS - Aerial Rescue and Geospatial Utility System [URO4lSgkyF8].mov</file>
  </doc>
</export-example>
