Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2451
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dc.contributor.authorNath, Nitendra-
dc.contributor.authorDawson, Darren M.-
dc.contributor.authorTatlıcıoğlu, Enver-
dc.date.accessioned2016-11-16T08:42:22Z
dc.date.available2016-11-16T08:42:22Z
dc.date.issued2009
dc.identifier.citationNath, N., Dawson, D. M., and Tatlıcıoğlu, E. (2009, 11-14 October). Euclidean position estimation of static features using a moving uncalibrated camera. Paper presented at the IEEE International Conference on Systems, Man and Cybernetics, SMC 2009. doi:10.1109/ICSMC.2009.5346924en_US
dc.identifier.issn1062-922X
dc.identifier.issn1062-922X-
dc.identifier.urihttp://doi.org/10.1109/ICSMC.2009.5346924
dc.identifier.urihttp://hdl.handle.net/11147/2451
dc.descriptionIEEE International Conference on Systems, Man and Cybernetics, SMC 2009; San Antonio, TX; United States; 11 October 2009 through 14 October 2009en_US
dc.description.abstractIn this paper, a novel Euclidean position estimation technique using a single uncalibrated camera mounted on a moving platform is developed to asymptotically recover the three-dimensional (3D) Euclidean position of static object features. The position of the moving platform is assumed to be measurable, and a second object with known 3D Euclidean coordinates relative to the world frame is considered to be available a priori. To account for the unknown camera calibration parameters and to estimate the unknown 3D Euclidean coordinates, an adaptive least squares estimation strategy is employed based on prediction error formulations and a Lyapunov-type stability analysis. The developed estimator is proven to recover the 3D Euclidean position of the unknown object features despite the lack of knowledge of the camera calibration parameters.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIEEE International Conference on Systems, Man and Cybernetics, SMC 2009en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectEstimationen_US
dc.subjectLeast squares estimationen_US
dc.subjectLyapunov methodsen_US
dc.subjectNonlinear systemsen_US
dc.subjectPerspective vision systemsen_US
dc.titleEuclidean position estimation of static features using a moving uncalibrated cameraen_US
dc.typeConference Objecten_US
dc.authoridTR123720en_US
dc.institutionauthorTatlıcıoğlu, Enver-
dc.departmentIzmir Institute of Technology. Electronics and Communication Engineeringen_US
dc.identifier.startpage4438en_US
dc.identifier.endpage4443en_US
dc.identifier.wosWOS:000279574602158en_US
dc.identifier.scopus2-s2.0-74849125058en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1109/ICSMC.2009.5346924-
dc.relation.doi10.1109/ICSMC.2009.5346924en_US
dc.coverage.doi10.1109/ICSMC.2009.5346924en_US
dc.identifier.scopusquality--
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextopen-
crisitem.author.dept03.05. Department of Electrical and Electronics Engineering-
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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