<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>196</id>
    <completedYear>2011</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>89</pageFirst>
    <pageLast>94</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2014-02-12</completedDate>
    <publishedDate>2014-05-06</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">GPU Architecture for Stationary Multisensor Pedestrian Detection at Smart Intersections</title>
    <parentTitle language="eng">IEEE Intelligent Vehicles Symposium, Baden Baden, Germany</parentTitle>
    <identifier type="doi">10.1109/IVS.2011.5940411</identifier>
    <enrichment key="review.accepted_by">2</enrichment>
    <licence>Keine Lizenz - es gilt das deutsche Urheberrecht</licence>
    <author>Daniel Weimer</author>
    <author>Sebastian Köhler</author>
    <author>Christian Hellert</author>
    <author>Konrad Doll</author>
    <author>Ulrich Brunsmann</author>
    <author>Roland Krzikalla</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Fahrerassistenzsystem</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Bildverarbeitung</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>
  </doc>
  <doc>
    <id>199</id>
    <completedYear>2011</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>19</pageFirst>
    <pageLast>24</pageLast>
    <pageNumber/>
    <edition/>
    <issue>45</issue>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation>MultiProjekt Chip Gruppe</contributingCorporation>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2014-02-12</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Modulare Hardware-Software Bildverarbeitungsplattform am Beispiel einer Vordergrund-Hintergrundtrennung</title>
    <parentTitle language="mul">45. MPC-Workshop, Albstadt-Sigmaringen</parentTitle>
    <identifier type="issn">1868-9221</identifier>
    <identifier type="url">https://www.mpc-gruppe.de/de/workshopbaende.html?file=files/content/workshops-volums/MPC_Workshopband_45.pdf</identifier>
    <licence>Keine Lizenz - es gilt das deutsche Urheberrecht</licence>
    <author>Johannes Kempf</author>
    <author>Konrad Doll</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Field programmable gate array</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Bildverarbeitung</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>
  </doc>
</export-example>
