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

Detalhes bibliográficos
Autor(a) principal: Silva, Luciana L. [UNESP]
Data de Publicação: 2008
Outros Autores: Tronco, Mário L. [UNESP], Vian, Henrique A. [UNESP], Souza, Rogéria C. G. [UNESP], Porto, Arthur J. V.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/IWSSIP.2008.4604472
http://hdl.handle.net/11449/225298
Resumo: Mobile 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.
id UNSP_6a9d1e2a9fe3c1839f96e42e8e1a0777
oai_identifier_str oai:repositorio.unesp.br:11449/225298
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Classification and characterization of places for mapping of environment using hierarchical neural network and omnivisionAffine invariant patternAttributes vectorHierarchical artificial neural network (RNAH)Omnivision, mapping systemMobile 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.Automation and Evolutive Computer Laboratory Computer and Statistic Sciences Department São Paulo State University - UNESP, Av. Cristovão Colombo, 2265, São José do Rio Preto- SPMechanical Engineering Departement São Carlos Engeneering School São Paulo University - USP, Av. trabalhador São-Carlense, 400, São Carlos - SPAutomation and Evolutive Computer Laboratory Computer and Statistic Sciences Department São Paulo State University - UNESP, Av. Cristovão Colombo, 2265, São José do Rio Preto- SPUniversidade Estadual Paulista (UNESP)Universidade de São Paulo (USP)Silva, Luciana L. [UNESP]Tronco, Mário L. [UNESP]Vian, Henrique A. [UNESP]Souza, Rogéria C. G. [UNESP]Porto, Arthur J. V.2022-04-28T20:44:03Z2022-04-28T20:44:03Z2008-10-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject487-490http://dx.doi.org/10.1109/IWSSIP.2008.4604472Proceedings of IWSSIP 2008 - 15th International Conference on Systems, Signals and Image Processing, p. 487-490.http://hdl.handle.net/11449/22529810.1109/IWSSIP.2008.46044722-s2.0-52949136338Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of IWSSIP 2008 - 15th International Conference on Systems, Signals and Image Processinginfo:eu-repo/semantics/openAccess2022-04-28T20:44:03Zoai:repositorio.unesp.br:11449/225298Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T20:44:03Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Classification and characterization of places for mapping of environment using hierarchical neural network and omnivision
title Classification and characterization of places for mapping of environment using hierarchical neural network and omnivision
spellingShingle Classification and characterization of places for mapping of environment using hierarchical neural network and omnivision
Silva, Luciana L. [UNESP]
Affine invariant pattern
Attributes vector
Hierarchical artificial neural network (RNAH)
Omnivision, mapping system
title_short Classification and characterization of places for mapping of environment using hierarchical neural network and omnivision
title_full Classification and characterization of places for mapping of environment using hierarchical neural network and omnivision
title_fullStr Classification and characterization of places for mapping of environment using hierarchical neural network and omnivision
title_full_unstemmed Classification and characterization of places for mapping of environment using hierarchical neural network and omnivision
title_sort Classification and characterization of places for mapping of environment using hierarchical neural network and omnivision
author Silva, Luciana L. [UNESP]
author_facet Silva, Luciana L. [UNESP]
Tronco, Mário L. [UNESP]
Vian, Henrique A. [UNESP]
Souza, Rogéria C. G. [UNESP]
Porto, Arthur J. V.
author_role author
author2 Tronco, Mário L. [UNESP]
Vian, Henrique A. [UNESP]
Souza, Rogéria C. G. [UNESP]
Porto, Arthur J. V.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Silva, Luciana L. [UNESP]
Tronco, Mário L. [UNESP]
Vian, Henrique A. [UNESP]
Souza, Rogéria C. G. [UNESP]
Porto, Arthur J. V.
dc.subject.por.fl_str_mv Affine invariant pattern
Attributes vector
Hierarchical artificial neural network (RNAH)
Omnivision, mapping system
topic Affine invariant pattern
Attributes vector
Hierarchical artificial neural network (RNAH)
Omnivision, mapping system
description Mobile 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.
publishDate 2008
dc.date.none.fl_str_mv 2008-10-06
2022-04-28T20:44:03Z
2022-04-28T20:44:03Z
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/IWSSIP.2008.4604472
Proceedings of IWSSIP 2008 - 15th International Conference on Systems, Signals and Image Processing, p. 487-490.
http://hdl.handle.net/11449/225298
10.1109/IWSSIP.2008.4604472
2-s2.0-52949136338
url http://dx.doi.org/10.1109/IWSSIP.2008.4604472
http://hdl.handle.net/11449/225298
identifier_str_mv Proceedings of IWSSIP 2008 - 15th International Conference on Systems, Signals and Image Processing, p. 487-490.
10.1109/IWSSIP.2008.4604472
2-s2.0-52949136338
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings of IWSSIP 2008 - 15th International Conference on Systems, Signals and Image Processing
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 487-490
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
_version_ 1799964717337280512

Registros relacionados