Real-world deployment of low-cost indoor positioning systems for industrial applications
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/1822/82407 |
Resumo: | The deployment of an Indoor Position System (IPS) in the real-world raised many challenges, such as installation of infrastructure, the calibration process or modelling of the building's floor plan. For Wi-Fi-based IPSs, deployments often require a laborious and time-consuming site survey to build a Radio Map (RM), which tends to become outdated over time due to several factors. In this paper, we evaluate different deployment methods of a Wi-Fi-based IPS in an industrial environment. The proposed solution works in scenarios with different space restrictions and automatically builds a RM using industrial vehicles in operation. Localization and tracking of industrial vehicles, equipped with low-cost sensors, is achieved with a particle filter, which combines Wi-Fi measurements with heading and displacement data. This allows to automatically annotate and add new samples to a RM, named vehicle Radio Map (vRM), without human intervention. In industrial environments, vRMs can be used with Wi-Fi fingerprinting to locate human operators, industrial vehicles, or other assets, allowing to improve logistics, monitoring of operations, and safety of operators. Experiments in an industrial building show that the proposed solution is capable of automatically building a high-quality vRM in different scenarios, i.e., considering a complete floor plan, a partial floor plan or without a floor plan. Obtained results revealed that vRMs can be used in Wi-Fi fingerprinting with better accuracy than a traditional RM. Sub-meter accuracies were obtained for an industrial vehicle prototype after deployment in a real building. |
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Real-world deployment of low-cost indoor positioning systems for industrial applicationsWireless fidelitySensorsSimultaneous localization and mappingIP networksBuildingsCalibrationFloorsCollaborative positioningindoor positioningindustrial vehiclesparticle filterpositioning system deploymentradio mapsensor data fusionsimultaneous localization and mapping (SLAM)wi-fi fingerprintingScience & TechnologyThe deployment of an Indoor Position System (IPS) in the real-world raised many challenges, such as installation of infrastructure, the calibration process or modelling of the building's floor plan. For Wi-Fi-based IPSs, deployments often require a laborious and time-consuming site survey to build a Radio Map (RM), which tends to become outdated over time due to several factors. In this paper, we evaluate different deployment methods of a Wi-Fi-based IPS in an industrial environment. The proposed solution works in scenarios with different space restrictions and automatically builds a RM using industrial vehicles in operation. Localization and tracking of industrial vehicles, equipped with low-cost sensors, is achieved with a particle filter, which combines Wi-Fi measurements with heading and displacement data. This allows to automatically annotate and add new samples to a RM, named vehicle Radio Map (vRM), without human intervention. In industrial environments, vRMs can be used with Wi-Fi fingerprinting to locate human operators, industrial vehicles, or other assets, allowing to improve logistics, monitoring of operations, and safety of operators. Experiments in an industrial building show that the proposed solution is capable of automatically building a high-quality vRM in different scenarios, i.e., considering a complete floor plan, a partial floor plan or without a floor plan. Obtained results revealed that vRMs can be used in Wi-Fi fingerprinting with better accuracy than a traditional RM. Sub-meter accuracies were obtained for an industrial vehicle prototype after deployment in a real building.This work was supported in part by the Fundacao para a Ciencia e Tecnologia-FCT through the Research and Development Units Project Scope under Grant UIDB/00319/2020 and in part by the Ph.D. Fellowship under Grant PD/BD/137401/2018. The associate editor coordinating the review of this article and approving it for publication was Prof. Masanori Sugimoto.IEEEUniversidade do MinhoSilva, Ivo Miguel MenezesPendão, Cristiano GonçalvesMoreira, Adriano20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/82407engI. Silva, C. Pendão and A. Moreira, "Real-World Deployment of Low-Cost Indoor Positioning Systems for Industrial Applications," in IEEE Sensors Journal, vol. 22, no. 6, pp. 5386-5397, 15 March15, 2022, doi: 10.1109/JSEN.2021.3103662.1530-437X10.1109/JSEN.2021.3103662https://ieeexplore.ieee.org/document/9509439info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:45:43Zoai:repositorium.sdum.uminho.pt:1822/82407Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:43:37.402413Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Real-world deployment of low-cost indoor positioning systems for industrial applications |
title |
Real-world deployment of low-cost indoor positioning systems for industrial applications |
spellingShingle |
Real-world deployment of low-cost indoor positioning systems for industrial applications Silva, Ivo Miguel Menezes Wireless fidelity Sensors Simultaneous localization and mapping IP networks Buildings Calibration Floors Collaborative positioning indoor positioning industrial vehicles particle filter positioning system deployment radio map sensor data fusion simultaneous localization and mapping (SLAM) wi-fi fingerprinting Science & Technology |
title_short |
Real-world deployment of low-cost indoor positioning systems for industrial applications |
title_full |
Real-world deployment of low-cost indoor positioning systems for industrial applications |
title_fullStr |
Real-world deployment of low-cost indoor positioning systems for industrial applications |
title_full_unstemmed |
Real-world deployment of low-cost indoor positioning systems for industrial applications |
title_sort |
Real-world deployment of low-cost indoor positioning systems for industrial applications |
author |
Silva, Ivo Miguel Menezes |
author_facet |
Silva, Ivo Miguel Menezes Pendão, Cristiano Gonçalves Moreira, Adriano |
author_role |
author |
author2 |
Pendão, Cristiano Gonçalves Moreira, Adriano |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Silva, Ivo Miguel Menezes Pendão, Cristiano Gonçalves Moreira, Adriano |
dc.subject.por.fl_str_mv |
Wireless fidelity Sensors Simultaneous localization and mapping IP networks Buildings Calibration Floors Collaborative positioning indoor positioning industrial vehicles particle filter positioning system deployment radio map sensor data fusion simultaneous localization and mapping (SLAM) wi-fi fingerprinting Science & Technology |
topic |
Wireless fidelity Sensors Simultaneous localization and mapping IP networks Buildings Calibration Floors Collaborative positioning indoor positioning industrial vehicles particle filter positioning system deployment radio map sensor data fusion simultaneous localization and mapping (SLAM) wi-fi fingerprinting Science & Technology |
description |
The deployment of an Indoor Position System (IPS) in the real-world raised many challenges, such as installation of infrastructure, the calibration process or modelling of the building's floor plan. For Wi-Fi-based IPSs, deployments often require a laborious and time-consuming site survey to build a Radio Map (RM), which tends to become outdated over time due to several factors. In this paper, we evaluate different deployment methods of a Wi-Fi-based IPS in an industrial environment. The proposed solution works in scenarios with different space restrictions and automatically builds a RM using industrial vehicles in operation. Localization and tracking of industrial vehicles, equipped with low-cost sensors, is achieved with a particle filter, which combines Wi-Fi measurements with heading and displacement data. This allows to automatically annotate and add new samples to a RM, named vehicle Radio Map (vRM), without human intervention. In industrial environments, vRMs can be used with Wi-Fi fingerprinting to locate human operators, industrial vehicles, or other assets, allowing to improve logistics, monitoring of operations, and safety of operators. Experiments in an industrial building show that the proposed solution is capable of automatically building a high-quality vRM in different scenarios, i.e., considering a complete floor plan, a partial floor plan or without a floor plan. Obtained results revealed that vRMs can be used in Wi-Fi fingerprinting with better accuracy than a traditional RM. Sub-meter accuracies were obtained for an industrial vehicle prototype after deployment in a real building. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022 2022-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1822/82407 |
url |
https://hdl.handle.net/1822/82407 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
I. Silva, C. Pendão and A. Moreira, "Real-World Deployment of Low-Cost Indoor Positioning Systems for Industrial Applications," in IEEE Sensors Journal, vol. 22, no. 6, pp. 5386-5397, 15 March15, 2022, doi: 10.1109/JSEN.2021.3103662. 1530-437X 10.1109/JSEN.2021.3103662 https://ieeexplore.ieee.org/document/9509439 |
dc.rights.driver.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 |
IEEE |
publisher.none.fl_str_mv |
IEEE |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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