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Sensor architecture model for unmanned aerial vehicles dedicated to electrical tower inspections

2023Conference object Open access
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dc.contributor.authorBerger, Guido
dc.contributor.authorBraun, João
dc.contributor.authorOliveira Júnior, Alexandre de
dc.contributor.authorLima, José
dc.contributor.authorPereira, Ana I.
dc.contributor.authorValente, António
dc.contributor.authorSoares, Salviano
dc.contributor.authorRech, Lucas C.
dc.contributor.authorCantieri, Álvaro R.
dc.contributor.authorWehrmeister, Marco A.
dc.date.accessioned2023-02-28T11:20:03Z
dc.date.available2023-02-28T11:20:03Z
dc.date.issued2023
dc.description.abstractThis research proposes positioning obstacle detection sensors by multirotor unmanned aerial vehicles (UAVs) dedicated to detailed inspections in high voltage towers. Different obstacle detection sensors are analyzed to compose a multisensory architecture in a multirotor UAV. The representation of the beam pattern of the sensors is modeled in the CoppeliaSim simulator to analyze the sensors’ coverage and detection performance in simulation. A multirotor UAV is designed to carry the same sensor architecture modeled in the simulation. The aircraft is used to perform flights over a deactivated electrical tower, aiming to evaluate the detection performance of the sensory architecture embedded in the aircraft. The results obtained in the simulation were compared with those obtained in a real scenario of electrical inspections. The proposed method achieved its goals as a mechanism to early evaluate the detection capability of different previously characterized sensor architectures used in multirotor UAV for electrical inspections.pt_PT
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020), SusTEC (LA/P/0007/2021), Oleachain ”Skills for sustainability and innovation in the value chain of traditional olive groves in the Northern Interior of Portugal” (Norte06-3559-FSE-000188) and Centro Federal de Educação Tecnológica Celso Suckow da Fonseca (CEFET/RJ). The project that gave rise to these results received the support of a fellowship from ”la Caixa” Foundation (ID 100010434). The fellowship code is LCF/BQ/DI20/11780028.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBerger, Guido; Braun, João; Júnior, Alexandre O.; Lima, José; Pereira, Ana I.; Valente, António; Soares, Salviano; Rech, Lucas C.; Cantieri, Álvaro R.; Wehrmeister, Marco A. (2022). Sensor architecture model for unmanned aerial vehicles dedicated to electrical tower inspections. In 2nd International Conference on Optimization, Learning Algorithms and Applications, OL2A 2022. Bragançapt_PT
dc.identifier.doi10.1007/978-3-031-23236-7_3
dc.identifier.urihttp://hdl.handle.net/10198/27284
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectUnmanned aerial vehiclespt_PT
dc.subjectSensor modellingpt_PT
dc.subjectRobotic simulatorpt_PT
dc.subjectElectrical inspectionspt_PT
dc.titleSensor architecture model for unmanned aerial vehicles dedicated to electrical tower inspectionspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.citation.conferencePlaceBragançapt_PT
oaire.citation.title2nd International Conference on Optimization, Learning Algorithms and Applications, OL2A 2022pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameBerger
person.familyNameBraun
person.familyNameOliveira Júnior
person.familyNameLima
person.familyNamePereira
person.givenNameGuido
person.givenNameJoão A.
person.givenNameAlexandre de
person.givenNameJosé
person.givenNameAna I.
person.identifierhttps://scholar.google.com/citations?user=WurUUUUAAAAJ&hl=pt-PT&oi=ao
person.identifierR-000-8GD
person.identifier.ciencia-id931A-887B-D75D
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person.identifier.ciencia-id6016-C902-86A9
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.orcid0000-0002-4100-1494
person.identifier.orcid0000-0003-0276-4314
person.identifier.orcid0000-0002-7009-3965
person.identifier.orcid0000-0001-7902-1207
person.identifier.orcid0000-0003-3803-2043
person.identifier.ridL-3370-2014
person.identifier.ridF-3168-2010
person.identifier.scopus-author-id57211244317
person.identifier.scopus-author-id57426745400
person.identifier.scopus-author-id55851941311
person.identifier.scopus-author-id15071961600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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