A Fast Firing Binaural System for Ultrasonic Pattern Recognition
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/7630 https://doi.org/10.1007/s10846-007-9158-5 |
Resumo: | Abstract A binaural sonar configuration with capability to detect and identify walls, edges and corners on real-time is presented in this work. A new multi-echo ultra-fast firing method increases the sonar acquisition rate, and provides crossed measurements without interference. A feature map is built on-line using Bayesian updating and classification rules. Three classifiers are implemented and analyzed: minimum risk (MR), maximum a posteriori (MAP), and minimum distance (MD). Experimental results of ultrasonic reflector recognition, using data collected in a specular indoor environment are presented in the paper. |
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A Fast Firing Binaural System for Ultrasonic Pattern RecognitionAbstract A binaural sonar configuration with capability to detect and identify walls, edges and corners on real-time is presented in this work. A new multi-echo ultra-fast firing method increases the sonar acquisition rate, and provides crossed measurements without interference. A feature map is built on-line using Bayesian updating and classification rules. Three classifiers are implemented and analyzed: minimum risk (MR), maximum a posteriori (MAP), and minimum distance (MD). Experimental results of ultrasonic reflector recognition, using data collected in a specular indoor environment are presented in the paper.2007info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/7630http://hdl.handle.net/10316/7630https://doi.org/10.1007/s10846-007-9158-5engJournal of Intelligent and Robotic Systems. 50:2 (2007) 141-162Moita, FernandoLopes, AnaNunes, Urbanoinfo: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:RCAAP2021-09-20T09:36:25Zoai:estudogeral.uc.pt:10316/7630Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:57:54.576812Repositório 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 |
A Fast Firing Binaural System for Ultrasonic Pattern Recognition |
title |
A Fast Firing Binaural System for Ultrasonic Pattern Recognition |
spellingShingle |
A Fast Firing Binaural System for Ultrasonic Pattern Recognition Moita, Fernando |
title_short |
A Fast Firing Binaural System for Ultrasonic Pattern Recognition |
title_full |
A Fast Firing Binaural System for Ultrasonic Pattern Recognition |
title_fullStr |
A Fast Firing Binaural System for Ultrasonic Pattern Recognition |
title_full_unstemmed |
A Fast Firing Binaural System for Ultrasonic Pattern Recognition |
title_sort |
A Fast Firing Binaural System for Ultrasonic Pattern Recognition |
author |
Moita, Fernando |
author_facet |
Moita, Fernando Lopes, Ana Nunes, Urbano |
author_role |
author |
author2 |
Lopes, Ana Nunes, Urbano |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Moita, Fernando Lopes, Ana Nunes, Urbano |
description |
Abstract A binaural sonar configuration with capability to detect and identify walls, edges and corners on real-time is presented in this work. A new multi-echo ultra-fast firing method increases the sonar acquisition rate, and provides crossed measurements without interference. A feature map is built on-line using Bayesian updating and classification rules. Three classifiers are implemented and analyzed: minimum risk (MR), maximum a posteriori (MAP), and minimum distance (MD). Experimental results of ultrasonic reflector recognition, using data collected in a specular indoor environment are presented in the paper. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007 |
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 |
http://hdl.handle.net/10316/7630 http://hdl.handle.net/10316/7630 https://doi.org/10.1007/s10846-007-9158-5 |
url |
http://hdl.handle.net/10316/7630 https://doi.org/10.1007/s10846-007-9158-5 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Intelligent and Robotic Systems. 50:2 (2007) 141-162 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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 |
instacron_str |
RCAAP |
institution |
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 |
repository.mail.fl_str_mv |
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1799133869303136256 |