Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/4828
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dc.contributor.authorNath, Nitendra-
dc.contributor.authorDawson, Darren M.-
dc.contributor.authorTatlıcıoğlu, Enver-
dc.date.accessioned2017-02-10T08:04:55Z-
dc.date.available2017-02-10T08:04:55Z-
dc.date.issued2012-03-
dc.identifier.citationNath, N., Dawson, D. M., and Tatlıcıoğlu, E. (2012). Euclidean position estimation of static features using a moving uncalibrated camera. IEEE Transactions on Control Systems Technology, 20(2), 480-485. doi:10.1109/TCST.2011.2120610en_US
dc.identifier.issn1063-6536-
dc.identifier.urihttp://doi.org/10.1109/TCST.2011.2120610-
dc.identifier.urihttp://hdl.handle.net/11147/4828-
dc.description.abstractIn this paper, a novel Euclidean position estimation technique using a single uncalibrated camera mounted on amoving platform is developed to asymptotically recover the 3-D Euclidean position of static object features. The position of the moving platform is assumed to be measurable, and a second object with known 3-D Euclidean coordinates relative to theworld frame is considered to be available a priori. To account for the unknown camera calibration parameters and to estimate the unknown 3-D Euclidean coordinates, an adaptive least squares estimation strategy is employed based on prediction error formulations and a Lyapunovtype stability analysis. The developed estimator is shown to recover the 3-D Euclidean position of the unknown object features despite the lack of knowledge of the camera calibration parameters. Numerical simulation results along with experimental results are presented to illustrate the effectiveness of the proposed algorithm. © 2011 IEEE.en_US
dc.description.sponsorshipDOE and Honda Corporationen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIEEE Transactions on Control Systems Technologyen_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.typeArticleen_US
dc.authoridTR123720en_US
dc.institutionauthorTatlıcıoğlu, Enver-
dc.departmentİzmir Institute of Technology. Electrical and Electronics Engineeringen_US
dc.identifier.volume20en_US
dc.identifier.issue2en_US
dc.identifier.startpage480en_US
dc.identifier.endpage485en_US
dc.identifier.wosWOS:000302694800019en_US
dc.identifier.scopus2-s2.0-84856558790en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1109/TCST.2011.2120610-
dc.relation.doi10.1109/TCST.2011.2120610en_US
dc.coverage.doi10.1109/TCST.2011.2120610en_US
dc.identifier.wosqualityQ1-
dc.identifier.scopusqualityQ1-
item.fulltextWith Fulltext-
item.openairetypeArticle-
item.grantfulltextopen-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
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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