Using angle of arrival (bearing) information for localization in robot networks

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dc.contributor.authorEren T.
dc.date.accessioned2020-06-25T15:13:52Z
dc.date.available2020-06-25T15:13:52Z
dc.date.issued2007
dc.departmentKırıkkale Üniversitesi
dc.description.abstractIn this paper, we consider using angle of arrival information (bearing) for localization in robot networks. The essential property we require in this paper is that a node can infer heading information from its neighbors. We address the uniqueness of network localization solutions by the theory of globally rigid graphs. We show that while the parallel rigidity problem for formations with bearings is isomorphic to the distance case, the global rigidity of the formation is simpler (in fact identical to the simpler rigidity case) for a network with bearings, compared to formations with distances. We provide the conditions of localization for networks in which the neighbor relationship is not necessarily symmetric. © TÜBİTAK.en_US
dc.identifier.citationEren, T. (2007). Using angle of arrival (bearing) information for localization in robot networks. Turkish Journal of Electrical Engineering and Computer Sciences, 15(2), 169 - 186.en_US
dc.identifier.endpage186en_US
dc.identifier.issn13000632
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-34547157555
dc.identifier.scopusqualityQ2
dc.identifier.startpage169en_US
dc.identifier.trdizinid67378
dc.identifier.urihttps://hdl.handle.net/20.500.12587/1952
dc.identifier.volume15en_US
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofTurkish Journal of Electrical Engineering and Computer Sciences
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectGraph theoryen_US
dc.subjectMulti-agent systemsen_US
dc.subjectMulti-robot systemsen_US
dc.subjectMulti-vehicle systemsen_US
dc.subjectRobot networksen_US
dc.subjectSensor networksen_US
dc.titleUsing angle of arrival (bearing) information for localization in robot networksen_US
dc.typeArticle

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