This package contains the datasets and supplementary materials used in the IPIN 2022 Competition. Contents: Track-3_TA-2022.pdf: Technical annex describing the competition (Version 2) 01 Logfiles: This folder contains a subfolder with the 89 training trials a subfolder with the 24 testing trials (validation), and a subfolder with the 3 blind scoring trials (test) 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 31|61|61 evaluation points. It requires the Matlab Mapping Toolbox. The ground truth is also provided as 3 csv files. Since the results must be provided with a 2Hz freq. starting from apptimestamp 0, the GT files include the closest timestamp matching the timing provided by competitors for the 3 evaluation logfiles. It contains samples of reported estimations and the corresponding results. Please, cite the following works when using the datasets included in this package: Torres-Sospedra, J.; et al. Datasets and Supporting Materials for the IPIN 2022 Competition Track 3 (Smartphone-based, off-site), Zenodo 2022. http://dx.doi.org/10.5281/zenodo.7612915

We would like to thank the Urban Computing Lab at the University of Minho for their support in collecting the datasets and the ISTI-CNR for managing the competition and finding sponsors for the winner's award. We are also grateful to Francesco Potortì, Sangjoon Park and the ISTI-CNR team for their invaluable commitment to organizing and promoting the IPIN competition. This work has been done within the framework of the IPIN 2022 Conference in Beijing. Parts of this work were carried out with the financial support received from projects and grants: ORIENTATE (H2020-MSCA-IF-2020, Grant Agreement 101023072); GeoLibero (from CYTED); INDRI (MICINN, ref. PID2021-122642OB-C42, PID2021-122642OB-C43, PID2021-122642OB-C44, MCIU/AEI/FEDER UE); MICROCEBUS (MICINN, ref. RTI2018-095168-B-C55, MCIU/AEI/FEDER UE); TARSIUS (TIN2015-71564-C4-2-R, MINECO/FEDER); SmartLoc(CSIC-PIE Ref.201450E011); LORIS (TIN2012-38080-C04-04)