Optimization of LiDAR MEMS Data Computation for Point Cloud Creation

Detalhes bibliográficos
Autor(a) principal: Nuno Granja Fernandes
Data de Publicação: 2018
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/114241
Resumo: The goal of this project is to conceptualize and design a digital signal processing system for a LiDAR sensor to be applied in the automotive industry. The way the sensor works and how it influences and interfaces with the microcontroller, where the processing will take place, must be properly analyzed. Then, the right algorithms must be chosen in a justifiable way and the system that performs them has to be designed. This system must operate under strict real-time restrictions and obey to performance and cost requirements.
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spelling Optimization of LiDAR MEMS Data Computation for Point Cloud CreationEngenharia electrotécnica, electrónica e informáticaElectrical engineering, Electronic engineering, Information engineeringThe goal of this project is to conceptualize and design a digital signal processing system for a LiDAR sensor to be applied in the automotive industry. The way the sensor works and how it influences and interfaces with the microcontroller, where the processing will take place, must be properly analyzed. Then, the right algorithms must be chosen in a justifiable way and the system that performs them has to be designed. This system must operate under strict real-time restrictions and obey to performance and cost requirements.2018-07-132018-07-13T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/10216/114241TID:202118002engNuno Granja Fernandesinfo: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:RCAAP2023-11-29T14:19:23Zoai:repositorio-aberto.up.pt:10216/114241Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:58:51.896743Repositório 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 Optimization of LiDAR MEMS Data Computation for Point Cloud Creation
title Optimization of LiDAR MEMS Data Computation for Point Cloud Creation
spellingShingle Optimization of LiDAR MEMS Data Computation for Point Cloud Creation
Nuno Granja Fernandes
Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
title_short Optimization of LiDAR MEMS Data Computation for Point Cloud Creation
title_full Optimization of LiDAR MEMS Data Computation for Point Cloud Creation
title_fullStr Optimization of LiDAR MEMS Data Computation for Point Cloud Creation
title_full_unstemmed Optimization of LiDAR MEMS Data Computation for Point Cloud Creation
title_sort Optimization of LiDAR MEMS Data Computation for Point Cloud Creation
author Nuno Granja Fernandes
author_facet Nuno Granja Fernandes
author_role author
dc.contributor.author.fl_str_mv Nuno Granja Fernandes
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 goal of this project is to conceptualize and design a digital signal processing system for a LiDAR sensor to be applied in the automotive industry. The way the sensor works and how it influences and interfaces with the microcontroller, where the processing will take place, must be properly analyzed. Then, the right algorithms must be chosen in a justifiable way and the system that performs them has to be designed. This system must operate under strict real-time restrictions and obey to performance and cost requirements.
publishDate 2018
dc.date.none.fl_str_mv 2018-07-13
2018-07-13T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/114241
TID:202118002
url https://hdl.handle.net/10216/114241
identifier_str_mv TID:202118002
dc.language.iso.fl_str_mv eng
language eng
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)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str 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
repository.mail.fl_str_mv
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