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Survey of SLAM Algorithms with ROS Support

2024-11-06Conference paper Restricted access
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datacite.subject.fosEngenharia e Tecnologia
datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorTeixeira, Abel
dc.contributor.authorCostelha, Hugo
dc.contributor.authorBento, Luis Conde
dc.contributor.authorNeves, Carlos
dc.date.accessioned2025-11-28T11:58:54Z
dc.date.available2025-11-28T11:58:54Z
dc.date.issued2024-11-06en_US
dc.date.updated2025-11-27T11:30:27Z
dc.descriptionkeywords recuperadas da ieee.
dc.description.abstractSimultaneous Localization and Mapping (SLAM) algorithms are a key component in enabling autonomous navigation for robotic systems. This study presents a comprehensive assessment of state-of-the-art SLAM algorithms, focusing exclusively on those with Robot Operating System (ROS) support. The study aims to provide insights into the computational performance of these algorithms by leveraging the benchmark results reported in their respective studies. Each algorithm's performance metrics, as reported in their benchmark studies, are analyzed and compared. This compara-ive analysis not only highlights the strengths and weaknesses of individual algorithms but also provides a broader understanding of their applicability across diverse robotic platforms and environments. Overall, this study contributes to the advancement of SLAM research by offering a comparative evaluation tailored to ROS-supported algorithms. The findings serve as a valuable resource to make informed decisions regarding the selection and implementation of SLAM solutions in real-world applications.eng
dc.description.sponsorshipFunding Agency: 10.13039/501100001871-National Funds through the Portuguese funding agency, FCT - Fundação para a Ciência e a Tecnologia (Grant Number: UIDB/00308/2020
dc.description.sponsorshipACKNOWLEDGMENT This work is carried out within the framework of the “Agendas para a Inovação ao Empresarial” (Project no 49, acronym “INOV.AM”,with reference PRR/49/INOV.AM/EE, operation code 02/C05-i01.01/2022.PC644865234-00000004), supported by the RRP- Recovery and Resilience Plan and by the European Funds NextGeneration EU. http://www.recuperarportugal.gov.pt/ This project was partially f inanced by National Funds through the Portuguese funding agency, FCT- Fundação para a Ciência e a Tecnologia, within project UIDB/00308/2020. This project was partially financed by National Funds through the Scientific Employment Stimulus- Institutional Call CEECINST/00051/2018.
dc.description.versionN/A
dc.identifier.citationA. Teixeira, H. Costelha, L. C. Bento and C. Neves, "Survey of SLAM Algorithms with ROS Support," 2024 7th Iberian Robotics Conference (ROBOT), Madrid, Spain, 2024, pp. 1-7, doi: 10.1109/ROBOT61475.2024.10796865.
dc.identifier.doi10.1109/robot61475.2024.10796865en_US
dc.identifier.isbn979-8-3503-7636-4
dc.identifier.isbn979-8-3503-7637-1
dc.identifier.slugcv-prod-4437717
dc.identifier.urihttp://hdl.handle.net/10400.8/14772
dc.language.isoeng
dc.peerreviewedyes
dc.publisherieee
dc.relationInstitute for Systems Engineering and Computers at Coimbra - INESC Coimbra
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/10796865/authors#authors
dc.rights.uriN/A
dc.subjectSurveys
dc.subjectMeasurement
dc.subjectSimultaneous localization and mapping
dc.subjectOperating systems
dc.subjectFocusing
dc.subjectBenchmark testing
dc.subjectAutonomous robots
dc.subjectSLAM
dc.subjectSurvey
dc.subjectROS
dc.titleSurvey of SLAM Algorithms with ROS Supporteng
dc.typeconference paperen_US
dspace.entity.typePublication
oaire.awardTitleInstitute for Systems Engineering and Computers at Coimbra - INESC Coimbra
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00308%2F2020/PT
oaire.citation.conferenceDate2024-11
oaire.citation.conferencePlaceMadrid, Espanha
oaire.citation.title2024 7th Iberian Robotics Conference (ROBOT)
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameCostelha
person.familyNameConde Bento
person.familyNameNeves
person.givenNameHugo
person.givenNameLuis
person.givenNameCarlos
person.identifier0000000133901858
person.identifier.ciencia-id931E-2249-DBA3
person.identifier.ciencia-idFE12-AAD0-3AB3
person.identifier.ciencia-idDC15-E18A-8C59
person.identifier.orcid0000-0003-0063-8592
person.identifier.orcid0000-0002-9689-3637
person.identifier.orcid0000-0003-1733-3648
person.identifier.ridV-4722-2017
person.identifier.ridF-7888-2013
person.identifier.ridF-4684-2014
person.identifier.scopus-author-id24775187600
person.identifier.scopus-author-id14070145000
person.identifier.scopus-author-id26768153200
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.cv.cienciaid931E-2249-DBA3 | Hugo Costelha
rcaap.rightsclosedAccessen_US
relation.isAuthorOfPublicationf45387c3-8889-4588-9808-d2bcd2d5848d
relation.isAuthorOfPublication0cfbb9a8-48d2-4547-bc90-01cde9d31be0
relation.isAuthorOfPublicationf87e8a37-498d-4ad4-810c-3c89d3171bf0
relation.isAuthorOfPublication.latestForDiscoveryf45387c3-8889-4588-9808-d2bcd2d5848d
relation.isProjectOfPublication254d9223-2e3b-4754-bae9-c98986d80921
relation.isProjectOfPublication.latestForDiscovery254d9223-2e3b-4754-bae9-c98986d80921

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