Using Visual Odometry to Determine the Position of a UAV

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dc.contributor.authorPintér, Marcocs
dc.contributor.authorJanoušek, Jiřícs
dc.contributor.authorKlouda, Jancs
dc.contributor.authorMarcoň, Petrcs
dc.coverage.issue9cs
dc.coverage.volume58cs
dc.date.accessioned2025-03-17T13:46:58Z
dc.date.available2025-03-17T13:46:58Z
dc.date.issued2024-08-30cs
dc.description.abstractWe discuss the main concepts and problems related to navigating an unmanned aerial vehicle (UAV) in a three-dimensional space via visual odometry. In the nearest future, GMSS-free UAV navigation will embody a critical part of autonomous navigation systems, with information from on-board cameras enabling the user to estimate the UAV's movement and position. In the given context, this paper presents different types of visual odometry, sensors for visual odometry, implementation components, and application scenarios. To allow the development and innovations, we utilize the widely used Robotic Operating System (ROS).en
dc.formattextcs
dc.format.extent281-286cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationIFAC-PapersOnLine (ELSEVIER). 2024, vol. 58, issue 9, p. 281-286.en
dc.identifier.doi10.1016/j.ifacol.2024.07.410cs
dc.identifier.issn2405-8963cs
dc.identifier.orcid0009-0006-4873-0434cs
dc.identifier.orcid0000-0002-9940-4966cs
dc.identifier.orcid0009-0007-7680-3108cs
dc.identifier.orcid0000-0001-7349-8426cs
dc.identifier.other189522cs
dc.identifier.researcheridLMO-1876-2024cs
dc.identifier.researcheridD-2123-2012cs
dc.identifier.scopus58315267300cs
dc.identifier.scopus57488995500cs
dc.identifier.scopus37063396000cs
dc.identifier.urihttps://hdl.handle.net/11012/250107
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofIFAC-PapersOnLine (ELSEVIER)cs
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S2405896324004993cs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2405-8963/cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/cs
dc.subjectautomationen
dc.subjectnavigationen
dc.subjectROSen
dc.subjectUAVen
dc.subjectvisual-odometryen
dc.titleUsing Visual Odometry to Determine the Position of a UAVen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-189522en
sync.item.dbtypeVAVen
sync.item.insts2025.03.17 14:46:58en
sync.item.modts2025.03.17 11:31:55en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav teoretické a experimentální elektrotechnikycs
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