<?xml version="1.0" encoding="utf-8"?>
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  <doc>
    <id>3910</id>
    <completedYear>2020</completedYear>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>movingimage</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2021-01-29</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Challenging visual localization of an UAV</title>
    <abstract language="eng">Challenging visual localization of an UAV while flying out of a room into a snowy environment (~ 4:50). The UAV is equipped with a 360° camera. The localization is done with  OpenVSLAM. &#13;
&#13;
The video was recorded in Jan. 2019 at the Fire Brigade training center in Dortmund&#13;
To achieve nearly real time conditions the original resolution of 5k (30 fps) was reduced to 2k (ffmpeg -i video.mp4 -vf scale=1920:-1 -crf 25 vido-small.mp4) with high compression (-crf 25). This reduce the original size from 3.2 GB to 93MB (~ 4 MBit/s which could be transmitted online via a radio link). The localization shown did not use frameskip.  With a frameskip  above 1 the localization fails while the UAV is flying through the window. Indoor localization can be done with a frameskip of 3 in real time.</abstract>
    <identifier type="urn">urn:nbn:de:hbz:1010-opus4-39109</identifier>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Creative Commons - Namensnennung - Nicht kommerziell - Weitergabe unter gleichen Bedingungen</licence>
    <author>Hartmut Surmann</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Robotik</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>UAV</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Flugkörper</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Ortsbestimmung</value>
    </subject>
    <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/3910/Challenging visual localization of an UAV-zZe-sEZU2EU-kl.mp4</file>
  </doc>
</export-example>
