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Metadata

Name
Supplementary evaluation files for the paper: Grid-Based Bayesian Filtering Methods for Pedestrian Dead Reckoning Indoor Positioning Using Smartphones
Repository
ZENODO
Identifier
doi:10.5281/zenodo.3975389
Description
This package contains evaluation supplementary files for the paper:&nbsp;Grid-Based Bayesian Filtering Methods for Pedestrian Dead Reckoning Indoor Positioning Using Smartphones by Miroslav Opiela and Franti&scaron;ek Gal?&iacute;k.

Contents:&nbsp;


ground_truth - real positions of checkpoints for given input files
input - sensor measurements recordings with initial positions (also after floor transitions) and checkpoint&nbsp;labels&nbsp;
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
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
visualization - trajectories visualized for selected output files
readme.txt - describes data formats used for particular files in this dataset and summarizes output files


Venues

Data are recorded in three buildings:


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
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.
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;


Used datasets

A subset of input data is derivated from available logfiles provided by organizers of&nbsp;IPIN 2018 and IPIN 2019 competitions:


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;http://dx.doi.org/10.5281/zenodo.2823964
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;http://dx.doi.org/10.5281/zenodo.3606765&nbsp;&nbsp; &nbsp;


Funding

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.

Contact

For any further questions, please contact:

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
Data or Study Types
multiple
Source Organization
Unknown
Access Conditions
available
Year
2020
Access Hyperlink
https://doi.org/10.5281/zenodo.3975389

Distributions

  • Encoding Format: HTML ; URL: https://doi.org/10.5281/zenodo.3975389
This project was funded in part by grant U24AI117966 from the NIH National Institute of Allergy and Infectious Diseases as part of the Big Data to Knowledge program. We thank all members of the bioCADDIE community for their valuable input on the overall project.