Classification and characterization of places for mapping of environment using hierarchical neural network and omnivision

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dc.contributor.authorSilva, Luciana L. [UNESP]
dc.contributor.authorTronco, Mario L. [UNESP]
dc.contributor.authorVian, Henrique A. [UNESP]
dc.contributor.authorSouza, Rogeria C. G. [UNESP]
dc.contributor.authorPorto, Arthur J. V.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T14:01:49Z
dc.date.available2014-05-20T14:01:49Z
dc.date.issued2008-01-01
dc.description.abstractMobile robots need autonomy to fulfill their tasks. Such autonomy is related whith their capacity to explorer and to recognize their navigation environments. In this context, the present work considers techniques for the classification and extraction of features from images, using artificial neural networks. This images are used in the mapping and localization system of LACE (Automation and Evolutive Computing Laboratory) mobile robot. In this direction, the robot uses a sensorial system composed by ultrasound sensors and a catadioptric vision system equipped with a camera and a conical mirror. The mapping system is composed of three modules; two of them will be presented in this paper: the classifier and the characterizer modules. Results of these modules simulations are presented in this paper.en
dc.description.affiliationSão Paulo State Univ UNESP, Automat & Evolut Comp Lab, Comp & Stat Sci Dept, BR-2265 Sao Jose do Rio Preto, SP, Brazil
dc.description.affiliationUnespSão Paulo State Univ UNESP, Automat & Evolut Comp Lab, Comp & Stat Sci Dept, BR-2265 Sao Jose do Rio Preto, SP, Brazil
dc.format.extent487-490
dc.identifierhttp://dx.doi.org/10.1109/IWSSIP.2008.4604472
dc.identifier.citationProceedings of Iwssip 2008: 15th International Conference on Systems, Signals and Image Processing. Bratislava: Slovak Univ Tech Bratislava, p. 487-490, 2008.
dc.identifier.urihttp://hdl.handle.net/11449/21815
dc.identifier.wosWOS:000259363700121
dc.language.isoeng
dc.publisherSlovak Univ Tech Bratislava
dc.relation.ispartofProceedings of Iwssip 2008: 15th International Conference on Systems, Signals and Image Processing
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectomnivisionen
dc.subjectmapping systemen
dc.subjecthierarchical artificial neural network (RNAH)en
dc.subjectattributes vectoren
dc.subjectaffine invariant patternen
dc.titleClassification and characterization of places for mapping of environment using hierarchical neural network and omnivisionen
dc.typeTrabalho apresentado em evento
dcterms.rightsHolderSlovak Univ Tech Bratislava
unesp.campusUniversidade Estadual Paulista (Unesp), Instituto de Biociências Letras e Ciências Exatas, São José do Rio Pretopt

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Artigos - Ciência da Computação e Estatística - IBILCE