Local data fusion algorithm for fire detection through mobile robot

Detalhes bibliográficos
Autor(a) principal: Roberto, Guilherme Freire [UNESP]
Data de Publicação: 2013
Outros Autores: Branco, Kalinka Castelo, Machado, J. M. [UNESP], Pinto, A. R. [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/LATW.2013.6562667
http://hdl.handle.net/11449/76495
Resumo: Multisensor data fusion is a technique that combines the readings of multiple sensors to detect some phenomenon. Data fusion applications are numerous and they can be used in smart buildings, environment monitoring, industry and defense applications. The main goal of multisensor data fusion is to minimize false alarms and maximize the probability of detection based on the detection of multiple sensors. In this paper a local data fusion algorithm based on luminosity, temperature and flame for fire detection is presented. The data fusion approach was embedded in a low cost mobile robot. The prototype test validation has indicated that our approach can detect fire occurrence. Moreover, the low cost project allow the development of robots that could be discarded in their fire detection missions. © 2013 IEEE.
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spelling Local data fusion algorithm for fire detection through mobile robotData fusion applicationsEnvironment monitoringFire detectionFire occurrencesMultiple sensorsMultisensor data fusionProbability of detectionPrototype testsAlgorithmsFire detectorsMobile robotsSensorsSignal processingData fusionMultisensor data fusion is a technique that combines the readings of multiple sensors to detect some phenomenon. Data fusion applications are numerous and they can be used in smart buildings, environment monitoring, industry and defense applications. The main goal of multisensor data fusion is to minimize false alarms and maximize the probability of detection based on the detection of multiple sensors. In this paper a local data fusion algorithm based on luminosity, temperature and flame for fire detection is presented. The data fusion approach was embedded in a low cost mobile robot. The prototype test validation has indicated that our approach can detect fire occurrence. Moreover, the low cost project allow the development of robots that could be discarded in their fire detection missions. © 2013 IEEE.UNESP-Universidade Estadual Paulista Sao Jose Do Rio Preto, Sao PauloUSP-Universidade de Sao Paulo, Sao CarlosUNESP-Universidade Estadual Paulista Sao Jose Do Rio Preto, Sao PauloUniversidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)Roberto, Guilherme Freire [UNESP]Branco, Kalinka CasteloMachado, J. M. [UNESP]Pinto, A. R. [UNESP]2014-05-27T11:30:37Z2014-05-27T11:30:37Z2013-09-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/LATW.2013.6562667LATW 2013 - 14th IEEE Latin-American Test Workshop.http://hdl.handle.net/11449/7649510.1109/LATW.2013.6562667WOS:0003266472000112-s2.0-84883098836Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengLATW 2013 - 14th IEEE Latin-American Test Workshopinfo:eu-repo/semantics/openAccess2021-10-23T21:37:54Zoai:repositorio.unesp.br:11449/76495Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T21:37:54Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Local data fusion algorithm for fire detection through mobile robot
title Local data fusion algorithm for fire detection through mobile robot
spellingShingle Local data fusion algorithm for fire detection through mobile robot
Roberto, Guilherme Freire [UNESP]
Data fusion applications
Environment monitoring
Fire detection
Fire occurrences
Multiple sensors
Multisensor data fusion
Probability of detection
Prototype tests
Algorithms
Fire detectors
Mobile robots
Sensors
Signal processing
Data fusion
title_short Local data fusion algorithm for fire detection through mobile robot
title_full Local data fusion algorithm for fire detection through mobile robot
title_fullStr Local data fusion algorithm for fire detection through mobile robot
title_full_unstemmed Local data fusion algorithm for fire detection through mobile robot
title_sort Local data fusion algorithm for fire detection through mobile robot
author Roberto, Guilherme Freire [UNESP]
author_facet Roberto, Guilherme Freire [UNESP]
Branco, Kalinka Castelo
Machado, J. M. [UNESP]
Pinto, A. R. [UNESP]
author_role author
author2 Branco, Kalinka Castelo
Machado, J. M. [UNESP]
Pinto, A. R. [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Roberto, Guilherme Freire [UNESP]
Branco, Kalinka Castelo
Machado, J. M. [UNESP]
Pinto, A. R. [UNESP]
dc.subject.por.fl_str_mv Data fusion applications
Environment monitoring
Fire detection
Fire occurrences
Multiple sensors
Multisensor data fusion
Probability of detection
Prototype tests
Algorithms
Fire detectors
Mobile robots
Sensors
Signal processing
Data fusion
topic Data fusion applications
Environment monitoring
Fire detection
Fire occurrences
Multiple sensors
Multisensor data fusion
Probability of detection
Prototype tests
Algorithms
Fire detectors
Mobile robots
Sensors
Signal processing
Data fusion
description Multisensor data fusion is a technique that combines the readings of multiple sensors to detect some phenomenon. Data fusion applications are numerous and they can be used in smart buildings, environment monitoring, industry and defense applications. The main goal of multisensor data fusion is to minimize false alarms and maximize the probability of detection based on the detection of multiple sensors. In this paper a local data fusion algorithm based on luminosity, temperature and flame for fire detection is presented. The data fusion approach was embedded in a low cost mobile robot. The prototype test validation has indicated that our approach can detect fire occurrence. Moreover, the low cost project allow the development of robots that could be discarded in their fire detection missions. © 2013 IEEE.
publishDate 2013
dc.date.none.fl_str_mv 2013-09-02
2014-05-27T11:30:37Z
2014-05-27T11:30:37Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/LATW.2013.6562667
LATW 2013 - 14th IEEE Latin-American Test Workshop.
http://hdl.handle.net/11449/76495
10.1109/LATW.2013.6562667
WOS:000326647200011
2-s2.0-84883098836
url http://dx.doi.org/10.1109/LATW.2013.6562667
http://hdl.handle.net/11449/76495
identifier_str_mv LATW 2013 - 14th IEEE Latin-American Test Workshop.
10.1109/LATW.2013.6562667
WOS:000326647200011
2-s2.0-84883098836
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv LATW 2013 - 14th IEEE Latin-American Test Workshop
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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