FPGA implementation of autonomous navigation algorithm with dynamic adaptation of quality of service

Detalhes bibliográficos
Autor(a) principal: Jose Carlos Sá
Data de Publicação: 2013
Outros Autores: João Canas Ferreira, José Carlos Alves
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/70146
Resumo: The main goal of this work is to build an hardware-aided autonomous navigation system based on real-time stereo images and to study Partial Reconfiguration aspects applied to the system. The system is built on an reconfigurable embedded development platform consisting of an IBM PowerPC 440 processor embedded in a Xilinx Virtex-5 FPGA to accelerate the most critical task. Three Reconfigurable Units were incorporated in the designed system architecture. The dynamic adjustment of systems quality of service was achieved by using different reconfiguration strategies to match vehicle speed. A speedup of 2 times for the critical task was obtained, compared with a software-only version. For larger images, the same implementation would achieve an estimated speedup of 2.5 times.
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spelling FPGA implementation of autonomous navigation algorithm with dynamic adaptation of quality of serviceEngenharia electrotécnica, electrónica e informáticaElectrical engineering, Electronic engineering, Information engineeringThe main goal of this work is to build an hardware-aided autonomous navigation system based on real-time stereo images and to study Partial Reconfiguration aspects applied to the system. The system is built on an reconfigurable embedded development platform consisting of an IBM PowerPC 440 processor embedded in a Xilinx Virtex-5 FPGA to accelerate the most critical task. Three Reconfigurable Units were incorporated in the designed system architecture. The dynamic adjustment of systems quality of service was achieved by using different reconfiguration strategies to match vehicle speed. A speedup of 2 times for the critical task was obtained, compared with a software-only version. For larger images, the same implementation would achieve an estimated speedup of 2.5 times.20132013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/70146engJose Carlos SáJoão Canas FerreiraJosé Carlos Alvesinfo: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:RCAAP2023-11-29T12:40:50Zoai:repositorio-aberto.up.pt:10216/70146Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:24:42.802411Repositório 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 FPGA implementation of autonomous navigation algorithm with dynamic adaptation of quality of service
title FPGA implementation of autonomous navigation algorithm with dynamic adaptation of quality of service
spellingShingle FPGA implementation of autonomous navigation algorithm with dynamic adaptation of quality of service
Jose Carlos Sá
Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
title_short FPGA implementation of autonomous navigation algorithm with dynamic adaptation of quality of service
title_full FPGA implementation of autonomous navigation algorithm with dynamic adaptation of quality of service
title_fullStr FPGA implementation of autonomous navigation algorithm with dynamic adaptation of quality of service
title_full_unstemmed FPGA implementation of autonomous navigation algorithm with dynamic adaptation of quality of service
title_sort FPGA implementation of autonomous navigation algorithm with dynamic adaptation of quality of service
author Jose Carlos Sá
author_facet Jose Carlos Sá
João Canas Ferreira
José Carlos Alves
author_role author
author2 João Canas Ferreira
José Carlos Alves
author2_role author
author
dc.contributor.author.fl_str_mv Jose Carlos Sá
João Canas Ferreira
José Carlos Alves
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 The main goal of this work is to build an hardware-aided autonomous navigation system based on real-time stereo images and to study Partial Reconfiguration aspects applied to the system. The system is built on an reconfigurable embedded development platform consisting of an IBM PowerPC 440 processor embedded in a Xilinx Virtex-5 FPGA to accelerate the most critical task. Three Reconfigurable Units were incorporated in the designed system architecture. The dynamic adjustment of systems quality of service was achieved by using different reconfiguration strategies to match vehicle speed. A speedup of 2 times for the critical task was obtained, compared with a software-only version. For larger images, the same implementation would achieve an estimated speedup of 2.5 times.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-01-01T00:00:00Z
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/70146
url https://hdl.handle.net/10216/70146
dc.language.iso.fl_str_mv eng
language eng
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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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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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