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Datasets and Supporting Materials for the IPIN 2018 Competition Track 3 (Smartphone-based, off-site)

Antonio Ramón Jiménez Ruiz; Germán Martín Mendoza-Silva; Miguel Ortiz; Antoni Perez-Navarro; Johan Perul; Fernando Seco; Joaquín Torres-Sospedra


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  <identifier identifierType="DOI">10.5281/zenodo.2823964</identifier>
  <creators>
    <creator>
      <creatorName>Antonio Ramón Jiménez Ruiz</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-9771-1930</nameIdentifier>
      <affiliation>Centre for Automation and Robotics (CAR), CSIC-UPM</affiliation>
    </creator>
    <creator>
      <creatorName>Germán Martín Mendoza-Silva</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2744-0236</nameIdentifier>
      <affiliation>Institute of New Imaging Technologies, Universiat Jaume I</affiliation>
    </creator>
    <creator>
      <creatorName>Miguel Ortiz</creatorName>
      <affiliation>IFSTTAR, AME, GEOLOC</affiliation>
    </creator>
    <creator>
      <creatorName>Antoni Perez-Navarro</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-7037-0635</nameIdentifier>
      <affiliation>Faculty of Computer Sciences, Multimedia and Telecommunication, Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya</affiliation>
    </creator>
    <creator>
      <creatorName>Johan Perul</creatorName>
      <affiliation>IFSTTAR, AME, GEOLOC</affiliation>
    </creator>
    <creator>
      <creatorName>Fernando Seco</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-2922-2710</nameIdentifier>
      <affiliation>Centre for Automation and Robotics (CAR), CSIC-UPM</affiliation>
    </creator>
    <creator>
      <creatorName>Joaquín Torres-Sospedra</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4338-4334</nameIdentifier>
      <affiliation>Institute of New Imaging Technologies, Universiat Jaume I</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Datasets and Supporting Materials for the IPIN 2018 Competition Track 3 (Smartphone-based, off-site)</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <subjects>
    <subject>Indoor Positioning</subject>
    <subject>Indoor Navigation</subject>
    <subject>Competition datasets</subject>
    <subject>Kalman filter</subject>
    <subject>Particle filter</subject>
    <subject>RF Fingerprinting</subject>
    <subject>Pedestrian Dead Reckoning</subject>
    <subject>Map Matching</subject>
    <subject>Sensor Fusion</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2018-04-27</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2823964</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2823963</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/ipin</relatedIdentifier>
  </relatedIdentifiers>
  <version>1.0</version>
  <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;This package contains the datasets and supplementary materials used in the IPIN 2018 Competition (Nantes, France).&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Contents:&lt;/strong&gt;&lt;/p&gt;

&lt;ol&gt;
	&lt;li&gt;IPIN2018_CallForCompetition_v2.1:&amp;nbsp;Call for competition including the technical annex describing the competition&amp;nbsp;&lt;/li&gt;
	&lt;li&gt;01-Logfiles:&amp;nbsp;This folder contains a subfolder with the 22 training logfiles,&amp;nbsp;a subfolder with the 15 (13 + 2) validation logfiles, and a subfolder&amp;nbsp;with the 1 blind evaluation logfile as provided to competitors.&lt;/li&gt;
	&lt;li&gt;02-Supplementary_Materials:&amp;nbsp;This folder contains the Matlab/octave parser, the raster maps, the&amp;nbsp;vector maps and the visualization of the training routes.&lt;/li&gt;
	&lt;li&gt;03-Evaluation:&amp;nbsp;This folder contains the scripts used to calculate the competition&amp;nbsp;metric, the 75th percentile on the 99 evaluation points. The ground&amp;nbsp;truth is also provided in MatLab format and as a CSV file. Since the&amp;nbsp;results must be provided with a 2Hz freq. starting from apptimestamp 0,&amp;nbsp;the GT includes the closest timestamp matching the timing provided&amp;nbsp;by competitors.&lt;/li&gt;
	&lt;li&gt;03-Evaluation_alternative:&amp;nbsp;This folder contains the alternative scripts used to calculate the competition metric, the 75th percentile on the 99 evaluation points. This version is compatible with MatLab and Octave and does not require any toolbox. In some cases, the differences in the reported errors might be around 10 cm with respect to the script used in the competition. The ground truth is also provided in MatLab format and as a CSV file. Since the results must be provided with a 2Hz freq. starting from apptimestamp 0, the GT includes the closest timestamp matching the timing provided by competitors.&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;&lt;strong&gt;Please, cite the following works when using the datasets included in this package:&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;Jimenez, A.R.; Mendoza-Silva, G.M.; Ortiz, M.; Perez-Navarro, A.; Perul, J.;&amp;nbsp;Seco, F.; Torres-Sospedra, J.&amp;nbsp;Datasets and Supporting Materials for the IPIN 2018 Competition Track 3 (Smartphone-based, off-site).&amp;nbsp;&lt;a href="http://dx.doi.org/10.5281/zenodo.2823964"&gt;http://dx.doi.org/10.5281/zenodo.2823964&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;strong&gt;Additional information can be found at:&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;&lt;a href="http://evaal.aaloa.org/2018/call-for-competitions"&gt;http://evaal.aaloa.org/2018/call-for-competitions&lt;/a&gt;&lt;/li&gt;
	&lt;li&gt;&lt;a href="http://ipin-conference.org/2018/ipincompetition/"&gt;http://ipin-conference.org/2018/ipincompetition/&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;strong&gt;For any further questions about the database and this competition track, please contact:&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;Joaqu&amp;iacute;n Torres (&lt;a href="mailto:jtorres@uji.es?subject=IPIN%202016%20Competition%20Dataset%20(Zenodo)"&gt;jtorres@uji.es&lt;/a&gt;) Institute of New Imaging Technologies, Universitat Jaume I, Spain.&amp;nbsp;&lt;/li&gt;
	&lt;li&gt;Antonio R. Jim&amp;eacute;nez (&lt;a href="mailto:antonio.jimenez@csic.es?subject=IPIN%202016%20Competition%20Dataset%20(Zenodo)"&gt;antonio.jimenez@csic.es&lt;/a&gt;) Center of Automation and Robotics (CAR)-CSIC/UPM, Spain.&amp;nbsp;&lt;/li&gt;
&lt;/ul&gt;</description>
    <description descriptionType="Other">We would like to thank Atlantis le Centre for sponsoring the competition track with an award for the winning team and Viametris for producing the ground truth with their the mobile mapping technology.

We are also grateful to Francesco Potortì, Sangjoon Park and the GEOLOC team for their invaluable help in organizing and promoting the IPIN competition and conference. Parts of this work were carried out with the financial support received from projects and grants: REPNIN+ network (TEC2017-90808-REDT), LORIS (TIN2012-38080-C04-04), TARSIUS (TIN2015-71564-C4-2-R, MINECO/FEDER), SmartLoc(CSIC-PIE Ref.201450E011), GEO-C (Project ID: 642332, H2020-MSCA-ITN-2014, Marie Sklodowska-Curie Action: Innovative Training Networks).</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/642332/">642332</awardNumber>
      <awardTitle>Joint Doctorate in Geoinformatics - Enabling Open Cities</awardTitle>
    </fundingReference>
  </fundingReferences>
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