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    <id>626</id>
    <completedYear>2013</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>629</pageFirst>
    <pageLast>635</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2015-06-03</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">FPGA-Based Real-Time Pedestrian Detection on High-Resolution Images</title>
    <parentTitle language="eng">2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Portland, USA</parentTitle>
    <identifier type="isbn">978-0-7695-4990-3</identifier>
    <identifier type="issn">2160-7508</identifier>
    <identifier type="doi">10.1109/CVPRW.2013.95</identifier>
    <enrichment key="copyright">1</enrichment>
    <licence>Keine Lizenz - es gilt das deutsche Urheberrecht</licence>
    <author>Michael Hahnle</author>
    <author>Frerk Saxen</author>
    <author>Matthias Hisung</author>
    <author>Ulrich Brunsmann</author>
    <author>Konrad Doll</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Fahrerassistenzsystem</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Fußgänger</value>
    </subject>
    <collection role="forschungsschwerpunkte" number="">Artifical Intelligence and Data Science</collection>
    <collection role="forschungsschwerpunkte" number="">Intelligent Mobility</collection>
    <collection role="forschungsschwerpunkte" number="">Intelligent Sensors and Signals</collection>
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  <doc>
    <id>627</id>
    <completedYear>2013</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>57</pageFirst>
    <pageLast>65</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
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    <creatingCorporation/>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2015-06-03</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Erkennung von Fußgängern in Echtzeit auf FPGAs</title>
    <parentTitle language="deu">49. MPC-Workshop, Mannheim, Deutschland</parentTitle>
    <identifier type="issn">1868-9221</identifier>
    <identifier type="url">https://www.mpc-gruppe.de/workshopbaende</identifier>
    <enrichment key="copyright">1</enrichment>
    <licence>Keine Lizenz - es gilt das deutsche Urheberrecht</licence>
    <author>Michael Hahnle</author>
    <author>Frerk Saxen</author>
    <author>Konrad Doll</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Fahrerassistenzsystem</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Fußgänger</value>
    </subject>
    <collection role="forschungsschwerpunkte" number="">Artifical Intelligence and Data Science</collection>
    <collection role="forschungsschwerpunkte" number="">Intelligent Mobility</collection>
    <collection role="forschungsschwerpunkte" number="">Intelligent Sensors and Signals</collection>
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