General concepts of multi-sensor data-fusion based SLAM

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dc.contributor.authorKlečka, Jancs
dc.contributor.authorHorák, Karelcs
dc.contributor.authorBoštík, Ondřejcs
dc.coverage.issue2cs
dc.coverage.volume9cs
dc.date.issued2020-06-01cs
dc.description.abstractThis paper is approaching a problem of Simultaneous Localization and Mapping (SLAM) algorithms focused specically on processing of data from a heterogeneous set of sensors concurrently. Sensors are considered to be different in a sense of measured physical quantity and so the problem of effective data-fusion is discussed. A special extension of the standard probabilistic approach to SLAM algorithms is presented. This extension is composed of two parts. Firstly is presented general perspective multiple-sensors based SLAM and then thee archetypical special cases are discuses. One archetype provisionally designated as ”partially collective mapping” has been analyzed also in a practical perspective because it implies a promising options for implicit map-level data-fusion.en
dc.formattextcs
dc.format.extent63-72cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationInternational Journal of Robotics and Automation (IJRA). 2020, vol. 9, issue 2, p. 63-72.en
dc.identifier.doi10.11591/ijra.v9i2.pp63-72cs
dc.identifier.issn2089-4856cs
dc.identifier.orcid0000-0002-1219-7782cs
dc.identifier.orcid0000-0002-2280-3029cs
dc.identifier.orcid0000-0002-7856-2084cs
dc.identifier.other164281cs
dc.identifier.urihttp://hdl.handle.net/11012/193374
dc.language.isoencs
dc.publisherInstitute of Advanced Engineering and Sciencecs
dc.relation.ispartofInternational Journal of Robotics and Automation (IJRA)cs
dc.relation.urihttp://ijra.iaescore.com/index.php/IJRA/article/view/20258/12906cs
dc.rightsCreative Commons Attribution-ShareAlike 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2089-4856/cs
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/cs
dc.subjectSimultaneous localization and mapping (SLAM)en
dc.subjectLocalizationen
dc.subjectMappingen
dc.subjectData fusionen
dc.subjectPartially collective mappingen
dc.titleGeneral concepts of multi-sensor data-fusion based SLAMen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-164281en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:39:25en
sync.item.modts2025.01.17 16:38:27en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav automatizace a měřicí technikycs
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