Published October 1, 2019 | Version 1.0
Dataset Open

Datasets and Supporting Materials for the IPIN 2019 Competition Track 3 (Smartphone-based, off-site)

  • 1. Centre for Automation and Robotics (CAR), CSIC-UPM
  • 2. Faculty of Computer Sciences, Multimedia and Telecommunication, Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya
  • 3. ISTI - CNR
  • 4. Institute of New Imaging Technologies, Universiat Jaume I
  • 5. IFSTTAR, AME, GEOLOC

Description

This package contains the datasets and supplementary materials used in the IPIN 2019 Competition (Pisa, Italy).

Contents:

  1. IPIN2019_Call4Competition: Call for competition and main rules
  2. IPIN2019_Track03_TechnicalAnnex: Technical annex describing the Track 3 of the competition.
  3. 01-Logfiles: This folder contains a subfolder with the 50 (40 + 10) training logfiles, a subfolder with the 9 validation logfiles, and a subfolder with the 1 blind evaluation logfile as provided to competitors.
  4. 02-Supplementary_Materials: This folder contains the Matlab/octave parser, the raster maps, the vector maps and the visualization of the training routes.
  5. 03-Evaluation: This folder contains the scripts used to calculate the competition metric, the 75th percentile on the 99 evaluation points. 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.

Please, cite the following works when using the datasets included in this package:

  • 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
  • Potorti, F.; Park, S.; Palumbo, F.; Girolami, M.; Barsocchi, P.; Lee, S.; Torres-Sospedra, J.; Jimenez Ruiz, A. R.; Perez-Navarro, A.; Mendoza-Silva, G. M.; Seco, F.; Ortiz, M.; Perul, J.; Renaudin, V.; Kang, H.; Park, S. Y.; Lee, J. H.; Park, C. G.; Ha, J.; Han, J.; Park, C.; KIM, K.; Lee, Y.; GYE, S.; Lee, K.; Kim, E.; Choi, J.-S.; Choi, Y.-S.; Talwar, S.; Cho, S. Y.; Ben-Moshe, B.; Sansano, E.; Chidlovskii, B.; Kronenwett, N.; Prophet, S.; Landay, Y.; Marbel, R.; Peng, A.; Wu, B.; MA, C.; Poslad, S.; Selviah, D.; Wu, W.; Ma, Z.; Zhang, W.; Wei, D.; Yuan, H.; Jiang, J.-B.; Liu, J.-W.; Su, K.-W.; Leu, J.-S.; Nishiguchi, K.; Bousselham, W.; Uchiyama, H.; Thomas, D.; Shimada, A.; Taniguchi, R.-I.; Cortés, V.; Lungenstrass, T.; Ashraf, I.; Lee, C.; Usman Ali, M.; Im, Y.; Kim, G.; Eom, J.; Hur, S.; Park, Y.; Opiela, M.; Moreira, A.; Nicolau, M. J.; Pendão, C.; Silva, I.; Meneses, F.; Costa, A.; Trogh, J.; Plets, D.; Chien, Y.-R.; Chang, T.-Y.; Fang, S.-H.; Tsao, Y. The IPIN 2019 Indoor Localisation Competition - Description and Results IEEE Access Vol. 8, pp. 206674-206718, 2020. https://doi.org/10.1109/ACCESS.2020.3037221

Additional information can be found at:

For any further questions about the database and this competition track, please contact: 

Notes

We would like to thank ISTI-CNR for sponsoring the competition track with an award for the winning team. We are also grateful to Francesco Potortì, Sangjoon Park and the ISTI-CNR team for their invaluable help in organizing and promoting the IPIN competition and conference. Parts of this work were carried out with the financial support received from projects and grants: REPNIN+ network (TEC2017-90808-REDT), LORIS (TIN2012-38080-C04-04), TARSIUS (TIN2015-71564-C4-2-R, MINECO/FEDER), SmartLoc(CSIC-PIE Ref.201450E011), GEO-C (Project ID: 642332, H2020-MSCA-ITN-2014, Marie Sklodowska-Curie Action: Innovative Training Networks) and A-WEAR (Project ID: 813278, H2020-MSCA-ITN-2018, Marie Sklodowska-Curie Action: Innovative Training Networks).

Files

2019_IPIN_Competition_Track03.zip

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Additional details

Funding

A-WEAR – A network for dynamic WEarable Applications with pRivacy constraints 813278
European Commission
GEO-C – Joint Doctorate in Geoinformatics - Enabling Open Cities 642332
European Commission