Datasets and Supporting Materials for the IPIN 2020 Competition Track 3 (Smartphone-based, off-site)

Abstract

This package contains the datasets and supplementary materials used in the IPIN 2020 Competition. <strong>Contents:</strong> IPIN2020_Track03_TechnicalAnnex_V1-01.pdf: Technical annex describing the competition 01-Logfiles: This folder contains a subfolder with the 78 training logfiles, 72 of them single floor, 4 in bookshelves areas and 2 of them in floor-transition zones, a subfolder with the 13 validation logfiles, and a subfolder with the 1 blind evaluation logfile as provided to competitors. 02-Supplementary_Materials: This folder contains the matlab/octave parser, the raster maps, the files for the matlab tools and the trajectory visualization. 03-Evaluation: This folder contains the scripts used to calculate the competition metric, the 75th percentile on the 82 evaluation points. It requires the Matlab Mapping Toolbox. The ground truth is also provided 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. It contains a sample of reported estimations and the corresponding results. Additionally, we provide a second script to provide a more detailed report on the results file (requires export_fig folder to run). <strong>Please, cite the following works when using the datasets included in this package:</strong> Torres-Sospedra, J.; Quezada-Gaibor, D.; Jimenez, A.R.; Perez-Navarro, A.; Seco, F.; Datasets and Supporting Materials for the IPIN 2020 Competition Track 3 (Smartphone-based, off-site). http://dx.doi.org/10.5281/zenodo.4314992 Potortì, F.; Torres-Sospedra, J.; Quezada-Gaibor, D.; Jiménez, A.R.; Seco, F.; Pérez-Navarro, A.; Ortiz, M.; Zhu, N.; Renaudin, V.; Ichikari, R.; Shimomura, R.; Ohta, N.; Nagae, S.; Kurata, T.; Wei, D.; Ji, X.; Zhang, W.; Kram, S.; Stahlke, M.; Mutschler, C.; Crivello, A.; Barsocchi, P.; Girolami, M.; Palumbo, F.; Chen, R.; Wu, Y.; Li, W.; Yu, Y.; Xu, S.; Huang, L.; Liu, T.; Kuang, J.; Niu, X.; Yoshida, T.; Nagata, Y.; Fukushima, Y.; Fukatani, N.; Hayashida, N.; Asai, Y.; Urano, K.; Ge, W.; Lee, N.T.; Fang, S.H.; Jie, Y.C.; Young, S.R.; Chien, Y.R.; Yu, C.C.; Ma, C.; Wu, B.; Zhang, W.; Wang, Y.; Fan, Y.; Poslad, S.; Selviah, D.R.; Wang, W.; Yuan, H.; Yonamoto, Y.; Yamaguchi, M.; Kaichi, T.; Zhou, B.; Liu, X.; Gu, Z.; Yang, C.; Wu, Z.; Xie, D.; Huang, C.; Zheng, L.; Peng, A.; Jin, G.; Wang, Q.; Luo, H.; Xiong, H.; Bao, L.; Zhang, P.; Zhao, F.; Yu, C.A.; Hung, C.H.; Antsfeld, L.; Chidlovskii, B.; Jiang, H.; Xia, M.; Yan, D.; Li, Y.; Dong, Y.; Silva, I.; Pendão, C.; Meneses, F.; Nicolau, M.J.; Costa, A.; Moreira, A.; Cock, C.D.; Plets, D.; Opiela, M.; Džama, J.; Zhang, L.; Li, H.; Chen, B.; Liu, Y.; Yean, S.; Lim, B.Z.; Teo, W.J.; Lee, B.S.; Oh, H.L. Off-line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences from IPIN 2020 Competition IEEE Sensors Journal, Early Access (in press), 2021. https://doi.org/10.1109/JSEN.2021.3083149

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