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Exploiting Different Combinations of Complementary Sensor's data for Fingerprint-based Indoor Positioning in Industrial Environments: Supplementary Materials

Joaquín Torres-Sospedra; Adriano Moreira; German M. Mendoza-Silva; Maria João Nicolau; Miguel Matey-Sanz; Ivo Silva; Joaquín Huerta; Cristiano Pendão


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{
  "description": "<p>Wi-Fi fingerprinting is a popular technique for smartphone-based indoor positioning. However, well-known RF propagation issues create signal fluctuations that translate into large positioning errors. Large errors limit the usage of Wi-Fi fingerprinting in industrial environments, where the reliability of position estimates is a key requirement. One successful approach to deal with signal fluctuations is to average the signals collected simultaneously through independent Wi-Fi interfaces. Another successful approach is to average the estimates provided by models built on independent radio maps. This package includes the data sets and software (MatLab) required to select the best model based on both approaches through a simulated environment.</p>\n\n<p><strong>Citation Request</strong></p>\n\n<ul>\n\t<li>Torres-Sospedra, J.; Moreira, A.; Mendoza-Silva, G. M.; Nicolau, M. J.; Matey-Sanz, M.; Silva, I.; Huerta, J.; and Pend&atilde;o, C.&nbsp;Exploiting Different Combinations of Complementary Sensor&#39;s data for Fingerprint-based Indoor Positioning in Industrial Environments&nbsp;Proceedings of the Tenth International Conference on Indoor Positioning and Indoor Navigation (IPIN),&nbsp;2019.</li>\n\t<li>Torres-Sospedra, J.; Moreira, A.; Mendoza-Silva, G. M.; Nicolau, M. J.;Matey-Sanz, M.; Silva, I.; Huerta, J.; and Pend&atilde;o, C.&nbsp;Exploiting Different Combinations of Complementary Sensor&#39;s data for&nbsp;Fingerprint-based Indoor Positioning in Industrial Environments: Supplementary Materials, Zenodo 2019. http://dx.doi.org/10.5281/zenodo.3333466</li>\n</ul>\n\n<p>&nbsp;</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Institute of New Imaging Technologies, Universitat Jaume I, Castell\u00f3n, Spain", 
      "@id": "https://orcid.org/0000-0003-4338-4334", 
      "@type": "Person", 
      "name": "Joaqu\u00edn Torres-Sospedra"
    }, 
    {
      "affiliation": "Algoritmi Research Centre, University of Minho, Guimar\u00e3es, Portugal", 
      "@type": "Person", 
      "name": "Adriano Moreira"
    }, 
    {
      "affiliation": "Institute of New Imaging Technologies, Universitat Jaume I, Castell\u00f3n, Spain", 
      "@type": "Person", 
      "name": "German M. Mendoza-Silva"
    }, 
    {
      "affiliation": "Algoritmi Research Centre, University of Minho, Guimar\u00e3es, Portugal", 
      "@type": "Person", 
      "name": "Maria Jo\u00e3o Nicolau"
    }, 
    {
      "affiliation": "Institute of New Imaging Technologies, Universitat Jaume I, Castell\u00f3n, Spain", 
      "@type": "Person", 
      "name": "Miguel Matey-Sanz"
    }, 
    {
      "affiliation": "Algoritmi Research Centre, University of Minho, Guimar\u00e3es, Portugal", 
      "@type": "Person", 
      "name": "Ivo Silva"
    }, 
    {
      "affiliation": "Institute of New Imaging Technologies, Universitat Jaume I, Castell\u00f3n, Spain", 
      "@type": "Person", 
      "name": "Joaqu\u00edn Huerta"
    }, 
    {
      "affiliation": "Algoritmi Research Centre, University of Minho, Guimar\u00e3es, Portugal", 
      "@type": "Person", 
      "name": "Cristiano Pend\u00e3o"
    }
  ], 
  "url": "https://zenodo.org/record/3333466", 
  "datePublished": "2019-09-13", 
  "version": "1.0", 
  "keywords": [
    "Wi-Fi Fingerprinting", 
    "Ensembles", 
    "Indoor Positioning System"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3333466", 
  "@id": "https://doi.org/10.5281/zenodo.3333466", 
  "@type": "SoftwareSourceCode", 
  "name": "Exploiting Different Combinations of Complementary Sensor's data for Fingerprint-based Indoor Positioning in Industrial Environments: Supplementary Materials"
}
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