Automated exploration and inspection: comparing two visual novelty detectors

Detalhes bibliográficos
Autor(a) principal: Vieira Neto, Hugo
Data de Publicação: 2005
Outros Autores: Nehmzow, Ulrich
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT))
Texto Completo: http://repositorio.utfpr.edu.br/jspui/handle/1/945
Resumo: Mobile robot applications that involve exploration and inspection of dynamic environments benefit, and often even are dependant on reliable novelty detection algorithms. In this paper we compare and discuss the performance and functionality of two different on-line novelty detection algorithms, one based on incremental Principal Component Analysis and the other on a Grow-When-Required artificial neural network. A series of experiments using visual input obtained by a mobile robot interacting with laboratory and real-world environments demonstrate and measure advantages and disadvantages of each approach.
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spelling 2014-10-29T19:27:17Z2014-10-29T19:27:17Z2005VIEIRA NETO, Hugo; NEHMZOW, Ulrich. Automated exploration and inspection: comparing two visual novelty detectors. International Journal of Advanced Robotic Systems, Colchester, v. 2, n. 4, p. 355-362. 2005. Disponível em: <http://cdn.intechopen.com/pdfs/4153/InTech-Automated_exploration_and_inspection_comparing_two_visual_novelty_detectors.pdf>. Acesso em: 16 jul. 2013.17298806http://repositorio.utfpr.edu.br/jspui/handle/1/945Mobile robot applications that involve exploration and inspection of dynamic environments benefit, and often even are dependant on reliable novelty detection algorithms. In this paper we compare and discuss the performance and functionality of two different on-line novelty detection algorithms, one based on incremental Principal Component Analysis and the other on a Grow-When-Required artificial neural network. A series of experiments using visual input obtained by a mobile robot interacting with laboratory and real-world environments demonstrate and measure advantages and disadvantages of each approach.engInternational Journal of Advanced Robotic Systemshttp://cdn.intechopen.com/pdfs/4153/InTech-Automated_exploration_and_inspection_comparing_two_visual_novelty_detectors.pdfO autor pode arquivar a versão/PDF do editor. Disponível em: <http://www.sherpa.ac.uk/romeo/issn/1729-8806/pt/>. 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dc.title.pt_BR.fl_str_mv Automated exploration and inspection: comparing two visual novelty detectors
title Automated exploration and inspection: comparing two visual novelty detectors
spellingShingle Automated exploration and inspection: comparing two visual novelty detectors
Vieira Neto, Hugo
Robôs móveis
Robótica
Visão por computador
Redes neurais (Computação)
Mobile robots
Robotics
Computer vision
Neural networks (Computer science)
title_short Automated exploration and inspection: comparing two visual novelty detectors
title_full Automated exploration and inspection: comparing two visual novelty detectors
title_fullStr Automated exploration and inspection: comparing two visual novelty detectors
title_full_unstemmed Automated exploration and inspection: comparing two visual novelty detectors
title_sort Automated exploration and inspection: comparing two visual novelty detectors
author Vieira Neto, Hugo
author_facet Vieira Neto, Hugo
Nehmzow, Ulrich
author_role author
author2 Nehmzow, Ulrich
author2_role author
dc.contributor.author.fl_str_mv Vieira Neto, Hugo
Nehmzow, Ulrich
dc.subject.por.fl_str_mv Robôs móveis
Robótica
Visão por computador
Redes neurais (Computação)
Mobile robots
Robotics
Computer vision
Neural networks (Computer science)
topic Robôs móveis
Robótica
Visão por computador
Redes neurais (Computação)
Mobile robots
Robotics
Computer vision
Neural networks (Computer science)
description Mobile robot applications that involve exploration and inspection of dynamic environments benefit, and often even are dependant on reliable novelty detection algorithms. In this paper we compare and discuss the performance and functionality of two different on-line novelty detection algorithms, one based on incremental Principal Component Analysis and the other on a Grow-When-Required artificial neural network. A series of experiments using visual input obtained by a mobile robot interacting with laboratory and real-world environments demonstrate and measure advantages and disadvantages of each approach.
publishDate 2005
dc.date.issued.fl_str_mv 2005
dc.date.accessioned.fl_str_mv 2014-10-29T19:27:17Z
dc.date.available.fl_str_mv 2014-10-29T19:27:17Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.fl_str_mv VIEIRA NETO, Hugo; NEHMZOW, Ulrich. Automated exploration and inspection: comparing two visual novelty detectors. International Journal of Advanced Robotic Systems, Colchester, v. 2, n. 4, p. 355-362. 2005. Disponível em: <http://cdn.intechopen.com/pdfs/4153/InTech-Automated_exploration_and_inspection_comparing_two_visual_novelty_detectors.pdf>. Acesso em: 16 jul. 2013.
dc.identifier.uri.fl_str_mv http://repositorio.utfpr.edu.br/jspui/handle/1/945
dc.identifier.issn.none.fl_str_mv 17298806
identifier_str_mv VIEIRA NETO, Hugo; NEHMZOW, Ulrich. Automated exploration and inspection: comparing two visual novelty detectors. International Journal of Advanced Robotic Systems, Colchester, v. 2, n. 4, p. 355-362. 2005. Disponível em: <http://cdn.intechopen.com/pdfs/4153/InTech-Automated_exploration_and_inspection_comparing_two_visual_novelty_detectors.pdf>. Acesso em: 16 jul. 2013.
17298806
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