Conference paper Open Access

Autonomous Platform based on Small-Scale Car for Versatile Data Collection and Algorithm Verification

Valtl, Jakob; Mendez, Javier; Pagalajar Cuellar, Manuel; Issakov, Vadim


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  <identifier identifierType="DOI">10.5281/zenodo.4665844</identifier>
  <creators>
    <creator>
      <creatorName>Valtl, Jakob</creatorName>
      <givenName>Jakob</givenName>
      <familyName>Valtl</familyName>
    </creator>
    <creator>
      <creatorName>Mendez, Javier</creatorName>
      <givenName>Javier</givenName>
      <familyName>Mendez</familyName>
    </creator>
    <creator>
      <creatorName>Pagalajar Cuellar, Manuel</creatorName>
      <givenName>Manuel</givenName>
      <familyName>Pagalajar Cuellar</familyName>
    </creator>
    <creator>
      <creatorName>Issakov, Vadim</creatorName>
      <givenName>Vadim</givenName>
      <familyName>Issakov</familyName>
    </creator>
  </creators>
  <titles>
    <title>Autonomous Platform based on Small-Scale Car for Versatile Data Collection and Algorithm Verification</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <dates>
    <date dateType="Issued">2021-01-13</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4665844</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4665843</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/teaching-h2020</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;In this work we present a versatile data collection and algorithm verification platform, based on an autonomous self-driving small-scale vehicle. The main advantage of the proposed demonstrator is the ability to collect data in a pre-defined environment without endangering traffic participants. The proposed vehicle includes multiple sensors for full 3D sensing, such as radar, LiDAR, camera and Hall-sensor. Thanks to simultaneous readout and processing, sensor data fusion and intelligent motor control is demonstrated. To store a large amount of data for real-time processing, SSD storage is connected. Finally, thanks to the optimized system power management concept, power consumption is kept low, which reduces required battery weight thus improving overall power efficiency.&lt;/p&gt;</description>
  </descriptions>
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