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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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DIGITAL.CSIC
Dataset . 2022 . Peer-reviewed
Data sources: DIGITAL.CSIC
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Datasets and Supporting Materials for the IPIN 2020 Competition Track 3 (Smartphone-based, off-site)

Authors: Torres-Sospedra, Joaquín; Quezada Gaibor, Darwin; Jiménez Ruiz, Antonio R.; Pérez-Navarro, Antoni; Seco Granja, Fernando;

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. Contents: 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).

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 reviewed

Country
Spain
Keywords

Indoor Positioning, Indoor Positioning; IPIN Competition, IPIN Competition

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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