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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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{
  "description": "<p>This package contains the datasets and supplementary materials used in the IPIN 2018 Competition (Nantes, France).</p>\n\n<p><strong>Contents:</strong></p>\n\n<ol>\n\t<li>IPIN2018_CallForCompetition_v2.1:&nbsp;Call for competition including the technical annex describing the competition&nbsp;</li>\n\t<li>01-Logfiles:&nbsp;This folder contains a subfolder with the 22 training logfiles,&nbsp;a subfolder with the 15 (13 + 2) validation logfiles, and a subfolder&nbsp;with the 1 blind evaluation logfile as provided to competitors.</li>\n\t<li>02-Supplementary_Materials:&nbsp;This folder contains the Matlab/octave parser, the raster maps, the&nbsp;vector maps and the visualization of the training routes.</li>\n\t<li>03-Evaluation:&nbsp;This folder contains the scripts used to calculate the competition&nbsp;metric, the 75th percentile on the 99 evaluation points. The ground&nbsp;truth is also provided in MatLab format and as a CSV file. Since the&nbsp;results must be provided with a 2Hz freq. starting from apptimestamp 0,&nbsp;the GT includes the closest timestamp matching the timing provided&nbsp;by competitors.</li>\n\t<li>03-Evaluation_alternative:&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.</li>\n</ol>\n\n<p><strong>Please, cite the following works when using the datasets included in this package:</strong></p>\n\n<ul>\n\t<li>Jimenez, A.R.; Mendoza-Silva, G.M.; Ortiz, M.; Perez-Navarro, A.; Perul, J.;&nbsp;Seco, F.; Torres-Sospedra, J.&nbsp;Datasets and Supporting Materials for the IPIN 2018 Competition Track 3 (Smartphone-based, off-site).&nbsp;<a href=\"http://dx.doi.org/10.5281/zenodo.2823964\">http://dx.doi.org/10.5281/zenodo.2823964</a></li>\n</ul>\n\n<p><strong>Additional information can be found at:</strong></p>\n\n<ul>\n\t<li><a href=\"http://evaal.aaloa.org/2018/call-for-competitions\">http://evaal.aaloa.org/2018/call-for-competitions</a></li>\n\t<li><a href=\"http://ipin-conference.org/2018/ipincompetition/\">http://ipin-conference.org/2018/ipincompetition/</a></li>\n</ul>\n\n<p><strong>For any further questions about the database and this competition track, please contact:&nbsp;</strong></p>\n\n<ul>\n\t<li>Joaqu&iacute;n Torres (<a href=\"mailto:jtorres@uji.es?subject=IPIN%202016%20Competition%20Dataset%20(Zenodo)\">jtorres@uji.es</a>) Institute of New Imaging Technologies, Universitat Jaume I, Spain.&nbsp;</li>\n\t<li>Antonio R. Jim&eacute;nez (<a href=\"mailto:antonio.jimenez@csic.es?subject=IPIN%202016%20Competition%20Dataset%20(Zenodo)\">antonio.jimenez@csic.es</a>) Center of Automation and Robotics (CAR)-CSIC/UPM, Spain.&nbsp;</li>\n</ul>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Centre for Automation and Robotics (CAR), CSIC-UPM", 
      "@id": "https://orcid.org/0000-0001-9771-1930", 
      "@type": "Person", 
      "name": "Antonio Ram\u00f3n Jim\u00e9nez Ruiz"
    }, 
    {
      "affiliation": "Institute of New Imaging Technologies, Universiat Jaume I", 
      "@id": "https://orcid.org/0000-0003-2744-0236", 
      "@type": "Person", 
      "name": "Germ\u00e1n Mart\u00edn Mendoza-Silva"
    }, 
    {
      "affiliation": "IFSTTAR, AME, GEOLOC", 
      "@type": "Person", 
      "name": "Miguel Ortiz"
    }, 
    {
      "affiliation": "Faculty of Computer Sciences, Multimedia and Telecommunication, Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya", 
      "@id": "https://orcid.org/0000-0002-7037-0635", 
      "@type": "Person", 
      "name": "Antoni Perez-Navarro"
    }, 
    {
      "affiliation": "IFSTTAR, AME, GEOLOC", 
      "@type": "Person", 
      "name": "Johan Perul"
    }, 
    {
      "affiliation": "Centre for Automation and Robotics (CAR), CSIC-UPM", 
      "@id": "https://orcid.org/0000-0002-2922-2710", 
      "@type": "Person", 
      "name": "Fernando Seco"
    }, 
    {
      "affiliation": "Institute of New Imaging Technologies, Universiat Jaume I", 
      "@id": "https://orcid.org/0000-0003-4338-4334", 
      "@type": "Person", 
      "name": "Joaqu\u00edn Torres-Sospedra"
    }
  ], 
  "url": "https://zenodo.org/record/2823964", 
  "datePublished": "2018-04-27", 
  "version": "1.0", 
  "keywords": [
    "Indoor Positioning", 
    "Indoor Navigation", 
    "Competition datasets", 
    "Kalman filter", 
    "Particle filter", 
    "RF Fingerprinting", 
    "Pedestrian Dead Reckoning", 
    "Map Matching", 
    "Sensor Fusion"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/acb7602e-de1b-4a11-a0e7-5613d0daad68/2018_IPIN_Competition_Track03.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.2823964", 
  "@id": "https://doi.org/10.5281/zenodo.2823964", 
  "@type": "Dataset", 
  "name": "Datasets and Supporting Materials for the IPIN 2018 Competition Track 3 (Smartphone-based, off-site)"
}
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