Enhanced Seamless Indoor–Outdoor Tracking Using Time Series of GNSS Positioning Errors

The seamless integration of indoor and outdoor positioning has gained considerable attention due to its practical implications in various fields. This paper presents an innovative approach aimed at detecting and delineating outdoor, indoor, and transition areas using a time series analysis of Global...

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Detalles Bibliográficos
Autores: Angelats, E, Gorreja, A, Espín-López, PF, Parés, ME, Malinverni, ES, Pierdicca, R
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
Repositorio:r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
OAI Identifier:oai:cttc.fundanetsuite.com:p8388
Acceso en línea:https://cttc.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=8388
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189040741&doi=10.3390%2fijgi13030072&partnerID=40&md5=9c8f8fe3ee15532c2b27b7d0c2bfc9ca
Access Level:acceso abierto
Palabra clave:GNSS
indoor–outdoor positioning
sensor fusion
space classification
VIO
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spelling Enhanced Seamless Indoor–Outdoor Tracking Using Time Series of GNSS Positioning ErrorsAngelats, EGorreja, AEspín-López, PFParés, MEMalinverni, ESPierdicca, RGNSSindoor–outdoor positioningsensor fusionspace classificationVIOThe seamless integration of indoor and outdoor positioning has gained considerable attention due to its practical implications in various fields. This paper presents an innovative approach aimed at detecting and delineating outdoor, indoor, and transition areas using a time series analysis of Global Navigation Satellite System (GNSS) error statistics. By leveraging this contextual understanding, the decision-making process between GNSS-based and Visual-Inertial Odometry (VIO) for trajectory estimation is refined, enabling a more robust and accurate positioning. The methodology involves three key steps: proposing the division of our context environment into a set of areas (indoor, outdoor, and transition), exploring two methodologies for the classification of space based on a time series of GNSS error statistics, and refining the trajectory estimation strategy based on contextual knowledge. Real data across diverse scenarios validate the approach, yielding trajectory estimations with accuracy consistently below 10 m. © 2024 by the authors.MDPI AG2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://cttc.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=8388https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189040741&doi=10.3390%2fijgi13030072&partnerID=40&md5=9c8f8fe3ee15532c2b27b7d0c2bfc9caISPRS International Journal of Geo-InformationISSN: 22209964reponame:r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)instname:Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)Inglésinfo:eu-repo/semantics/openAccessoai:cttc.fundanetsuite.com:p83882026-06-17T11:44:47Z
dc.title.none.fl_str_mv Enhanced Seamless Indoor–Outdoor Tracking Using Time Series of GNSS Positioning Errors
title Enhanced Seamless Indoor–Outdoor Tracking Using Time Series of GNSS Positioning Errors
spellingShingle Enhanced Seamless Indoor–Outdoor Tracking Using Time Series of GNSS Positioning Errors
Angelats, E
GNSS
indoor–outdoor positioning
sensor fusion
space classification
VIO
title_short Enhanced Seamless Indoor–Outdoor Tracking Using Time Series of GNSS Positioning Errors
title_full Enhanced Seamless Indoor–Outdoor Tracking Using Time Series of GNSS Positioning Errors
title_fullStr Enhanced Seamless Indoor–Outdoor Tracking Using Time Series of GNSS Positioning Errors
title_full_unstemmed Enhanced Seamless Indoor–Outdoor Tracking Using Time Series of GNSS Positioning Errors
title_sort Enhanced Seamless Indoor–Outdoor Tracking Using Time Series of GNSS Positioning Errors
dc.creator.none.fl_str_mv Angelats, E
Gorreja, A
Espín-López, PF
Parés, ME
Malinverni, ES
Pierdicca, R
author Angelats, E
author_facet Angelats, E
Gorreja, A
Espín-López, PF
Parés, ME
Malinverni, ES
Pierdicca, R
author_role author
author2 Gorreja, A
Espín-López, PF
Parés, ME
Malinverni, ES
Pierdicca, R
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv GNSS
indoor–outdoor positioning
sensor fusion
space classification
VIO
topic GNSS
indoor–outdoor positioning
sensor fusion
space classification
VIO
description The seamless integration of indoor and outdoor positioning has gained considerable attention due to its practical implications in various fields. This paper presents an innovative approach aimed at detecting and delineating outdoor, indoor, and transition areas using a time series analysis of Global Navigation Satellite System (GNSS) error statistics. By leveraging this contextual understanding, the decision-making process between GNSS-based and Visual-Inertial Odometry (VIO) for trajectory estimation is refined, enabling a more robust and accurate positioning. The methodology involves three key steps: proposing the division of our context environment into a set of areas (indoor, outdoor, and transition), exploring two methodologies for the classification of space based on a time series of GNSS error statistics, and refining the trajectory estimation strategy based on contextual knowledge. Real data across diverse scenarios validate the approach, yielding trajectory estimations with accuracy consistently below 10 m. © 2024 by the authors.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://cttc.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=8388
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189040741&doi=10.3390%2fijgi13030072&partnerID=40&md5=9c8f8fe3ee15532c2b27b7d0c2bfc9ca
url https://cttc.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=8388
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189040741&doi=10.3390%2fijgi13030072&partnerID=40&md5=9c8f8fe3ee15532c2b27b7d0c2bfc9ca
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv ISPRS International Journal of Geo-Information
ISSN: 22209964
reponame:r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
instname:Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
instname_str Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
reponame_str r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
collection r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
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