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Supplementary evaluation files for the paper: Grid-Based Bayesian Filtering Methods for Pedestrian Dead Reckoning Indoor Positioning Using Smartphones

<p>This package contains evaluation supplementary files for the paper:&nbsp;<em>Grid-Based Bayesian Filtering Methods for Pedestrian Dead Reckoning Indoor Positioning Using Smartphones</em> by Miroslav Opiela and Franti&scaron;ek Galč&iacute;k.</p> <p><strong>Contents:&nbsp;</strong></p> <ul> <li>ground_truth - real positions of checkpoints for given input files</li> <li>input - sensor measurements recordings with initial positions (also after floor transitions) and checkpoint&nbsp;labels&nbsp;</li> <li>maps - processed map models containing positions of points and connections (e.g., walls) in custom coordinate system. Reference to GNSS and map rotation is inducted in maps-meta.xml</li> <li>output - data&nbsp;processed by the localization system. JSON containing the applied method,&nbsp;its configuration, and&nbsp;all estimated positions. Errors for every folder are summarized in the csv file</li> <li>visualization - trajectories visualized for selected output files</li> <li>readme.txt - describes data formats used for particular files in this dataset and summarizes output files</li> </ul> <p><strong>Venues</strong></p> <p>Data are recorded in three buildings:</p> <ul> <li>codename: SA1, SA1_rotated&nbsp;- recorded by the author in the&nbsp;faculty building (Park Angelinum 9, 04001, Ko&scaron;ice, Slovakia) using&nbsp;Lenovo tablet</li> <li>codename: AtlantisR0, AtlantisR-1, AtlantisR+1, AtlantisR+2 - the shopping mall Atlantis Le Centre (Boulevard Salvador Allende, 44800 Saint-Herblain, France). Dataset is from IPIN 2018 competition and&nbsp;loc_20180922_160206 is recorded by the author using Xiaomi Mi 5.</li> <li>codename: CNR_0, CNR_1, CNR_2 - the research institute building CNR (Via Giuseppe Moruzzi, 56127 Pisa, Italy). Dataset is from IPIN 2019 competition.&nbsp;</li> </ul> <p><strong>Used datasets</strong></p> <p>A subset of input data is derivated from available logfiles provided by organizers of&nbsp;IPIN 2018 and IPIN 2019 competitions:</p> <ul> <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> <li>Jim&eacute;nez, A. R.; Perez-Navarro, A.; Crivello, A.; Mendoza-Silva, G.; Ortiz, M.; Perul, J.; &nbsp;Seco, F. and Torres-Sospedra, J. Datasets and Supporting Materials&nbsp;for the IPIN 2019 Competition Track 3 (Smartphone-based, off-site), Zenodo 2019.&nbsp;<a href="http://dx.doi.org/10.5281/zenodo.3606765">http://dx.doi.org/10.5281/zenodo.3606765</a>&nbsp;&nbsp; &nbsp;</li> </ul> <p><strong>Funding</strong></p> <p>The work was partially supported by the Slovak Grant Agency of the Ministry of Education and Academy of Science of the Slovak Republic under grant no. 1/0056/18 and by the Slovak Research and Development Agency under the contract no. APVV-15-0091.</p> <p><strong>Contact</strong></p> <p>For any further questions, please contact:</p> <p>Miroslav Opiela, miroslav.opiela@upjs.sk&nbsp;Institute of Computer Science, Faculty of Science, P. J. &Scaron;af&aacute;rik University (UPJS), Ko&scaron;ice, Slovakia</p>