Earth-fixed trajectory and map online estimation: Building on GES sensor-based SLAM filters
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
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/10362/106278 |
Resumo: | UID/EEA/00066/2019 PTDC/EEI-AUT/32107/2017 University of Macau Project MYRG2018-00198-FST Grant FDCT/026/2017/A1 |
id |
RCAP_7a89e1f456fa7ed0b977a9922669c0a0 |
---|---|
oai_identifier_str |
oai:run.unl.pt:10362/106278 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Earth-fixed trajectory and map online estimation: Building on GES sensor-based SLAM filtersMappingPerturbation theoryProcrustes problemRoboticsSLAMControl and Systems EngineeringSoftwareMathematics(all)Computer Science ApplicationsUID/EEA/00066/2019 PTDC/EEI-AUT/32107/2017 University of Macau Project MYRG2018-00198-FST Grant FDCT/026/2017/A1This paper addresses the problem of obtaining an Earth-fixed trajectory and map (ETM), with the associated uncertainty, using the sensor-based map provided by a globally asymptotically/exponentially stable (GES) SLAM filter. The algorithm builds on an optimization problem with a closed-form solution, and its uncertainty description is derived resorting to perturbation theory. The combination of the algorithm proposed in this paper with sensor-based SLAM filtering results in a complete SLAM methodology, which is directly applied to the three main different formulations: range-and-bearing, range-only, and bearing-only. Simulation and experimental results for all these formulations are included in this work to illustrate the performance of the proposed algorithm under realistic conditions. The ETM algorithm proposed in this paper is truly sensor-agnostic, as it only requires a sensor-based map and imposes no constraints on how this map is acquired nor how egomotion is captured. However, in the experiments presented herein, all the sensor-based filters use a sensor to measure the angular velocity and, for the range-only and bearing-only formulations, a sensor to measure the linear velocity.DEE - Departamento de Engenharia Electrotécnica e de ComputadoresCTS - Centro de Tecnologia e SistemasUNINOVA-Instituto de Desenvolvimento de Novas TecnologiasRUNLourenço, PedroGuerreiro, Bruno J.Batista, PedroOliveira, Paulo JorgeSilvestre, Carlos2022-09-01T00:31:20Z2020-082020-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/106278eng0921-8890PURE: 18724859https://doi.org/10.1016/j.robot.2020.103552info: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:RCAAP2024-03-11T04:51:20Zoai:run.unl.pt:10362/106278Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:40:41.169683Repositório 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 |
Earth-fixed trajectory and map online estimation: Building on GES sensor-based SLAM filters |
title |
Earth-fixed trajectory and map online estimation: Building on GES sensor-based SLAM filters |
spellingShingle |
Earth-fixed trajectory and map online estimation: Building on GES sensor-based SLAM filters Lourenço, Pedro Mapping Perturbation theory Procrustes problem Robotics SLAM Control and Systems Engineering Software Mathematics(all) Computer Science Applications |
title_short |
Earth-fixed trajectory and map online estimation: Building on GES sensor-based SLAM filters |
title_full |
Earth-fixed trajectory and map online estimation: Building on GES sensor-based SLAM filters |
title_fullStr |
Earth-fixed trajectory and map online estimation: Building on GES sensor-based SLAM filters |
title_full_unstemmed |
Earth-fixed trajectory and map online estimation: Building on GES sensor-based SLAM filters |
title_sort |
Earth-fixed trajectory and map online estimation: Building on GES sensor-based SLAM filters |
author |
Lourenço, Pedro |
author_facet |
Lourenço, Pedro Guerreiro, Bruno J. Batista, Pedro Oliveira, Paulo Jorge Silvestre, Carlos |
author_role |
author |
author2 |
Guerreiro, Bruno J. Batista, Pedro Oliveira, Paulo Jorge Silvestre, Carlos |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
DEE - Departamento de Engenharia Electrotécnica e de Computadores CTS - Centro de Tecnologia e Sistemas UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias RUN |
dc.contributor.author.fl_str_mv |
Lourenço, Pedro Guerreiro, Bruno J. Batista, Pedro Oliveira, Paulo Jorge Silvestre, Carlos |
dc.subject.por.fl_str_mv |
Mapping Perturbation theory Procrustes problem Robotics SLAM Control and Systems Engineering Software Mathematics(all) Computer Science Applications |
topic |
Mapping Perturbation theory Procrustes problem Robotics SLAM Control and Systems Engineering Software Mathematics(all) Computer Science Applications |
description |
UID/EEA/00066/2019 PTDC/EEI-AUT/32107/2017 University of Macau Project MYRG2018-00198-FST Grant FDCT/026/2017/A1 |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-08 2020-08-01T00:00:00Z 2022-09-01T00:31:20Z |
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/10362/106278 |
url |
http://hdl.handle.net/10362/106278 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0921-8890 PURE: 18724859 https://doi.org/10.1016/j.robot.2020.103552 |
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 |
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 |
|
_version_ |
1799138020994056192 |