Datasets and Supporting Materials for the IPIN 2021 Competition Track 3 (Smartphone-based, off-site)

This package contains the datasets and supplementary materials used in the IPIN 2021 Competition. Contents: IPIN2021_Track03_TechnicalAnnex_V1-02.pdf: Technical annex describing the competition 01-Logfiles: This folder contains a subfolder with the 105 training logfiles, 80 of them single floor indo...

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Detalhes bibliográficos
Autores: Torres-Sospedra, Joaquín, Aranda Polo, Fernando J., Parralejo, Felipe, Bellavista Parent, Vladimir, Álvarez, Fernando J., Pérez-Navarro, Antoni, Jiménez Ruiz, Antonio R., Seco Granja, Fernando
Formato: conjunto de datos
Fecha de publicación:2021
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/285763
Acesso em linha:http://hdl.handle.net/10261/285763
Access Level:acceso abierto
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spelling Datasets and Supporting Materials for the IPIN 2021 Competition Track 3 (Smartphone-based, off-site)Torres-Sospedra, JoaquínAranda Polo, Fernando J.Parralejo, FelipeBellavista Parent, VladimirÁlvarez, Fernando J.Pérez-Navarro, AntoniJiménez Ruiz, Antonio R.Seco Granja, FernandoThis package contains the datasets and supplementary materials used in the IPIN 2021 Competition. Contents: IPIN2021_Track03_TechnicalAnnex_V1-02.pdf: Technical annex describing the competition 01-Logfiles: This folder contains a subfolder with the 105 training logfiles, 80 of them single floor indoors, 10 in outdoor areas, 10 of them in the indoor auditorium with floor-trasitio and 5 of them in floor-transition zones, a subfolder with the 20 validation logfiles, and a subfolder with the 3 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 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.We would like to thank GISS Research team at University of Extremadura for their support in colllecting the datasets and the ISTI-CNR for managing the competition and find sponsors for the winner's award. We are also grateful to Francesco Potortì, Sangjoon Park and the ISTI-CNR team for their invaluable committment in organizing and promoting the IPIN competition and conference. This work has been done within the framework of the IPIN 2021 Conference in Lloret de Mar, organised by A. Pérez-Navarro, R. Montoliu and J. Torres-Sospedra. Parts of this work were carried out with the financial support received from projects and grants: - A-WEAR (H2020-MSCA-ITN-2018, Grant Agreement 813278) - INSIGNIA (PTQ2018-009981) - REPNIN+ network (TEC2017-90808-REDT) - LORIS (TIN2012-38080-C04-04) - SmartLoc(CSIC-PIE Ref.201450E011) - TARSIUS (TIN2015-71564-C4-2-R, MINECO/FEDER) - MICROCEBUS (MICINN, ref. RTI2018-095168-B-C55, MCIU/AEI/FEDER UE)Peer reviewedZenodoUniversidad de ExtremaduraEuropean CommissionAgencia Estatal de Investigación (España)Ministerio de Ciencia, Innovación y Universidades (España)Consejo Superior de Investigaciones Científicas (España)Ministerio de Economía y Competitividad (España)Torres-Sospedra, Joaquín [0000-0003-4338-4334]Aranda Polo, Fernando J. [0000-0003-3824-3094]Parralejo, Felipe [0000-0003-1739-829X]Álvarez, Fernando J. [0000-0002-7610-1452]Pérez-Navarro, Antoni [0000-0002-7037-0635]Jiménez Ruiz, Antonio R. [0000-0001-9771-1930]Seco Granja, Fernando [0000-0002-2922-2710]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202220222021info:eu-repo/semantics/datasethttp://purl.org/coar/resource_type/c_ddb1application/pdfhttp://hdl.handle.net/10261/285763reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/EC/H2020/813278info:eu-repo/grantAgreement/AEI//PTQ2018-009981info:eu-repo/grantAgreement/AEI//TEC2017-90808-REDTinfo:eu-repo/grantAgreement/MINECO//TIN2012-38080-C04-04info:eu-repo/grantAgreement/MINECO//TIN2015-71564-C4-2-Rinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095168-B-C55https://doi.org/10.5281/zenodo.5948678Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2857632026-05-22T06:33:51Z
dc.title.none.fl_str_mv Datasets and Supporting Materials for the IPIN 2021 Competition Track 3 (Smartphone-based, off-site)
title Datasets and Supporting Materials for the IPIN 2021 Competition Track 3 (Smartphone-based, off-site)
spellingShingle Datasets and Supporting Materials for the IPIN 2021 Competition Track 3 (Smartphone-based, off-site)
Torres-Sospedra, Joaquín
title_short Datasets and Supporting Materials for the IPIN 2021 Competition Track 3 (Smartphone-based, off-site)
title_full Datasets and Supporting Materials for the IPIN 2021 Competition Track 3 (Smartphone-based, off-site)
title_fullStr Datasets and Supporting Materials for the IPIN 2021 Competition Track 3 (Smartphone-based, off-site)
title_full_unstemmed Datasets and Supporting Materials for the IPIN 2021 Competition Track 3 (Smartphone-based, off-site)
title_sort Datasets and Supporting Materials for the IPIN 2021 Competition Track 3 (Smartphone-based, off-site)
dc.creator.none.fl_str_mv Torres-Sospedra, Joaquín
Aranda Polo, Fernando J.
Parralejo, Felipe
Bellavista Parent, Vladimir
Álvarez, Fernando J.
Pérez-Navarro, Antoni
Jiménez Ruiz, Antonio R.
Seco Granja, Fernando
author Torres-Sospedra, Joaquín
author_facet Torres-Sospedra, Joaquín
Aranda Polo, Fernando J.
Parralejo, Felipe
Bellavista Parent, Vladimir
Álvarez, Fernando J.
Pérez-Navarro, Antoni
Jiménez Ruiz, Antonio R.
Seco Granja, Fernando
author_role author
author2 Aranda Polo, Fernando J.
Parralejo, Felipe
Bellavista Parent, Vladimir
Álvarez, Fernando J.
Pérez-Navarro, Antoni
Jiménez Ruiz, Antonio R.
Seco Granja, Fernando
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad de Extremadura
European Commission
Agencia Estatal de Investigación (España)
Ministerio de Ciencia, Innovación y Universidades (España)
Consejo Superior de Investigaciones Científicas (España)
Ministerio de Economía y Competitividad (España)
Torres-Sospedra, Joaquín [0000-0003-4338-4334]
Aranda Polo, Fernando J. [0000-0003-3824-3094]
Parralejo, Felipe [0000-0003-1739-829X]
Álvarez, Fernando J. [0000-0002-7610-1452]
Pérez-Navarro, Antoni [0000-0002-7037-0635]
Jiménez Ruiz, Antonio R. [0000-0001-9771-1930]
Seco Granja, Fernando [0000-0002-2922-2710]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
description This package contains the datasets and supplementary materials used in the IPIN 2021 Competition. Contents: IPIN2021_Track03_TechnicalAnnex_V1-02.pdf: Technical annex describing the competition 01-Logfiles: This folder contains a subfolder with the 105 training logfiles, 80 of them single floor indoors, 10 in outdoor areas, 10 of them in the indoor auditorium with floor-trasitio and 5 of them in floor-transition zones, a subfolder with the 20 validation logfiles, and a subfolder with the 3 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 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.
publishDate 2021
dc.date.none.fl_str_mv 2021
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/dataset
http://purl.org/coar/resource_type/c_ddb1
format dataset
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/285763
url http://hdl.handle.net/10261/285763
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/EC/H2020/813278
info:eu-repo/grantAgreement/AEI//PTQ2018-009981
info:eu-repo/grantAgreement/AEI//TEC2017-90808-REDT
info:eu-repo/grantAgreement/MINECO//TIN2012-38080-C04-04
info:eu-repo/grantAgreement/MINECO//TIN2015-71564-C4-2-R
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095168-B-C55
https://doi.org/10.5281/zenodo.5948678
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Zenodo
publisher.none.fl_str_mv Zenodo
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,228081

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