Sistema de visão estéreo para identificação de obstáculos

Detalhes bibliográficos
Autor(a) principal: José Luís Dias Espassandim
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/106855
Resumo: Nowadays, the most influential automotive industries and other big companies such as Google have been putting efforts in order to launch autonomous vehicles into our streets. In order to that safely, a autonomous vehicle has to be capable to move from point A to point B paying attention to every pedestrian and vehicle, baring in mind that road rules must be obeyed. Moreover, obstacles may appear unexpectedly or road adhesion could be altered. Therefore, in order to fulfill the main purpose of this project, two stereo matching methods were addressed so the two of them could be compared. The first algorithm was a local block matching and the second one was a semi-global matching. After the disparity map calculation, two histograms from the map were calculated: a vertical and horizontal histogram. With these histograms obstacles positioning and dimensions could be extracted.
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spelling Sistema de visão estéreo para identificação de obstáculosEngenharia electrotécnica, electrónica e informáticaElectrical engineering, Electronic engineering, Information engineeringNowadays, the most influential automotive industries and other big companies such as Google have been putting efforts in order to launch autonomous vehicles into our streets. In order to that safely, a autonomous vehicle has to be capable to move from point A to point B paying attention to every pedestrian and vehicle, baring in mind that road rules must be obeyed. Moreover, obstacles may appear unexpectedly or road adhesion could be altered. Therefore, in order to fulfill the main purpose of this project, two stereo matching methods were addressed so the two of them could be compared. The first algorithm was a local block matching and the second one was a semi-global matching. After the disparity map calculation, two histograms from the map were calculated: a vertical and horizontal histogram. With these histograms obstacles positioning and dimensions could be extracted.2017-07-132017-07-13T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/10216/106855TID:201799901porJosé Luís Dias Espassandiminfo: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:RCAAP2023-11-29T13:06:55Zoai:repositorio-aberto.up.pt:10216/106855Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:33:47.667112Repositório 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 Sistema de visão estéreo para identificação de obstáculos
title Sistema de visão estéreo para identificação de obstáculos
spellingShingle Sistema de visão estéreo para identificação de obstáculos
José Luís Dias Espassandim
Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
title_short Sistema de visão estéreo para identificação de obstáculos
title_full Sistema de visão estéreo para identificação de obstáculos
title_fullStr Sistema de visão estéreo para identificação de obstáculos
title_full_unstemmed Sistema de visão estéreo para identificação de obstáculos
title_sort Sistema de visão estéreo para identificação de obstáculos
author José Luís Dias Espassandim
author_facet José Luís Dias Espassandim
author_role author
dc.contributor.author.fl_str_mv José Luís Dias Espassandim
dc.subject.por.fl_str_mv Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
topic Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
description Nowadays, the most influential automotive industries and other big companies such as Google have been putting efforts in order to launch autonomous vehicles into our streets. In order to that safely, a autonomous vehicle has to be capable to move from point A to point B paying attention to every pedestrian and vehicle, baring in mind that road rules must be obeyed. Moreover, obstacles may appear unexpectedly or road adhesion could be altered. Therefore, in order to fulfill the main purpose of this project, two stereo matching methods were addressed so the two of them could be compared. The first algorithm was a local block matching and the second one was a semi-global matching. After the disparity map calculation, two histograms from the map were calculated: a vertical and horizontal histogram. With these histograms obstacles positioning and dimensions could be extracted.
publishDate 2017
dc.date.none.fl_str_mv 2017-07-13
2017-07-13T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/106855
TID:201799901
url https://hdl.handle.net/10216/106855
identifier_str_mv TID:201799901
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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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
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