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

This package contains the datasets and supplementary materials used in the IPIN 2019 Competition (Pisa, Italy). Contents: IPIN2019_Call4Competition: Call for competition and main rules IPIN2019_Track03_TechnicalAnnex: Technical annex describing the Track 3 of the competition. 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. 02-Supplementary_Materials: This folder contains the Matlab/octave parser, the raster maps, the vector maps and the visualization of the training routes. 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: http://evaal.aaloa.org/2019/call-for-competitions For any further questions about the database and this competition track, please contact: Joaquín Torres ([e-mail],[e-mail]) UBIK Geospatial Solutions S.L., Spain Institute of New Imaging Technologies, Universitat Jaume I, Spain. Antonio R. Jiménez ([e-mail]) Center of Automation and Robotics (CAR)-CSIC/UPM, Spain.本数据包包含IPIN 2019竞赛（意大利比萨）所使用的数据集及辅助材料。具体内容如下： 1. IPIN2019_Call4Competition：竞赛征集通知与竞赛主规则 2. IPIN2019_Track03_TechnicalAnnex：描述本竞赛第3赛道的技术附件 3. 01-Logfiles：该文件夹包含三个子文件夹，分别存储提供给参赛选手的50份（40+10）训练日志文件、9份验证日志文件以及1份盲测评估日志文件。 4. 02-Supplementary_Materials：该文件夹包含Matlab/Octave解析器、栅格地图、矢量地图以及训练路线可视化文件。 5. 03-Evaluation：该文件夹包含用于计算竞赛评估指标的脚本——即99个评估点上的75百分位数值。真值（ground truth）以MatLab格式与CSV文件两种形式提供。由于提交结果需以2Hz频率从apptimestamp 0开始生成，因此真值文件包含与参赛选手提供的计时最匹配的对应时间戳。 使用本数据包内的数据集时，请引用以下文献： 1. Jiménez, A. R.; Pérez-Navarro, A.; Crivello, A.; Mendoza-Silva, G.; Ortiz, M.; Perul, J.; Seco, F. 及 Torres-Sospedra, J. 《面向IPIN 2019竞赛第3赛道（基于智能手机的场外场景）的数据集与辅助材料》[数据集]. Zenodo, 2019. http://dx.doi.org/10.5281/zenodo.3606765 2. Potorti, F. 等. 《IPIN 2019室内定位竞赛——赛制描述与竞赛结果》[J]. IEEE Access, 2020, 8: 206674-206718. https://doi.org/10.1109/ACCESS.2020.3037221 更多相关信息可访问：http://evaal.aaloa.org/2019/call-for-competitions 若对本数据库及本竞赛赛道有任何进一步疑问，请联系： Joaquín Torres（电子邮箱：[e-mail], [e-mail]） UBIK地理空间解决方案有限公司（UBIK Geospatial Solutions S.L.），西班牙 胡米利亚大学（Universitat Jaume I）新成像技术研究所，西班牙 Antonio R. Jiménez（电子邮箱：[e-mail]） 自动化与机器人中心（CAR）- CSIC/UPM，西班牙