A Self-Guided Docking Architecture for Autonomous Surface Vehicles

Detalhes bibliográficos
Autor(a) principal: Pedro Nuno Barbosa Leite
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/121192
Resumo: Autonomous Surface Vehicles (ASVs) provide the ideal platform to further explore the many opportunities in the cargo shipping industry, by making it more profitable and safer. Information retrieved from a 3D LIDAR, IMU, GPS, and Camera is combined to extract the geometric features of the floating platform and to estimate the relative position and orientation of the moor to the ASV. Then, a trajectory is planned to a specific target position, guaranteeing that the ASV will not collide with the mooring facility. To ensure that the sensors are within range of operation, a module has been developed to generate a trajectory that will deliver the ASV to a catch zone where it is able to function properly. A High-Level controler is also implemented, resorting to an heuristic to evaluate if the ASV is within this operating range and also its current orientation relative to the docking platform.
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spelling A Self-Guided Docking Architecture for Autonomous Surface VehiclesEngenharia electrotécnica, electrónica e informáticaElectrical engineering, Electronic engineering, Information engineeringAutonomous Surface Vehicles (ASVs) provide the ideal platform to further explore the many opportunities in the cargo shipping industry, by making it more profitable and safer. Information retrieved from a 3D LIDAR, IMU, GPS, and Camera is combined to extract the geometric features of the floating platform and to estimate the relative position and orientation of the moor to the ASV. Then, a trajectory is planned to a specific target position, guaranteeing that the ASV will not collide with the mooring facility. To ensure that the sensors are within range of operation, a module has been developed to generate a trajectory that will deliver the ASV to a catch zone where it is able to function properly. A High-Level controler is also implemented, resorting to an heuristic to evaluate if the ASV is within this operating range and also its current orientation relative to the docking platform.2019-07-162019-07-16T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/10216/121192TID:202396843engPedro Nuno Barbosa Leiteinfo: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:RCAAP2023-11-29T14:47:43Zoai:repositorio-aberto.up.pt:10216/121192Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:08:39.089253Repositório 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 Self-Guided Docking Architecture for Autonomous Surface Vehicles
title A Self-Guided Docking Architecture for Autonomous Surface Vehicles
spellingShingle A Self-Guided Docking Architecture for Autonomous Surface Vehicles
Pedro Nuno Barbosa Leite
Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
title_short A Self-Guided Docking Architecture for Autonomous Surface Vehicles
title_full A Self-Guided Docking Architecture for Autonomous Surface Vehicles
title_fullStr A Self-Guided Docking Architecture for Autonomous Surface Vehicles
title_full_unstemmed A Self-Guided Docking Architecture for Autonomous Surface Vehicles
title_sort A Self-Guided Docking Architecture for Autonomous Surface Vehicles
author Pedro Nuno Barbosa Leite
author_facet Pedro Nuno Barbosa Leite
author_role author
dc.contributor.author.fl_str_mv Pedro Nuno Barbosa Leite
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 Autonomous Surface Vehicles (ASVs) provide the ideal platform to further explore the many opportunities in the cargo shipping industry, by making it more profitable and safer. Information retrieved from a 3D LIDAR, IMU, GPS, and Camera is combined to extract the geometric features of the floating platform and to estimate the relative position and orientation of the moor to the ASV. Then, a trajectory is planned to a specific target position, guaranteeing that the ASV will not collide with the mooring facility. To ensure that the sensors are within range of operation, a module has been developed to generate a trajectory that will deliver the ASV to a catch zone where it is able to function properly. A High-Level controler is also implemented, resorting to an heuristic to evaluate if the ASV is within this operating range and also its current orientation relative to the docking platform.
publishDate 2019
dc.date.none.fl_str_mv 2019-07-16
2019-07-16T00:00:00Z
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format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/121192
TID:202396843
url https://hdl.handle.net/10216/121192
identifier_str_mv TID:202396843
dc.language.iso.fl_str_mv eng
language eng
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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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