Published August 7, 2020 | Version 1.0.0
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Supplementary evaluation files for the paper: Grid-Based Bayesian Filtering Methods for Pedestrian Dead Reckoning Indoor Positioning Using Smartphones

  • 1. Institute of Computer Science, Faculty of Science, P. J. Šafárik University (UPJS), Košice, Slovakia

Description

This package contains evaluation supplementary files for the paper: Grid-Based Bayesian Filtering Methods for Pedestrian Dead Reckoning Indoor Positioning Using Smartphones by Miroslav Opiela and František Galčík.

Contents: 

  • ground_truth - real positions of checkpoints for given input files
  • input - sensor measurements recordings with initial positions (also after floor transitions) and checkpoint labels 
  • 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 processed by the localization system. JSON containing the applied method, its configuration, and 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 - recorded by the author in the faculty building (Park Angelinum 9, 04001, Košice, Slovakia) using 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 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. 

Used datasets

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

  • Jimenez, A.R.; Mendoza-Silva, G.M.; Ortiz, M.; Perez-Navarro, A.; Perul, J.; Seco, F.; Torres-Sospedra, J. Datasets and Supporting Materials for the IPIN 2018 Competition Track 3 (Smartphone-based, off-site). http://dx.doi.org/10.5281/zenodo.2823964
  • Jiménez, A. R.; Perez-Navarro, A.; Crivello, A.; Mendoza-Silva, G.; Ortiz, M.; Perul, J.;  Seco, F. and Torres-Sospedra, J. Datasets and Supporting Materials for the IPIN 2019 Competition Track 3 (Smartphone-based, off-site), Zenodo 2019. http://dx.doi.org/10.5281/zenodo.3606765    

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 Institute of Computer Science, Faculty of Science, P. J. Šafárik University (UPJS), Košice, Slovakia

Files

supplementary evaluation files.zip

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Additional details

Related works

Is derived from
Dataset: 10.5281/zenodo.3606765 (DOI)
Dataset: 10.5281/zenodo.2823964 (DOI)