Performance Evaluation of Ego-Motion Methods in Static Environment

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dc.authoridAkkaya, Abdullah Erhan/0000-0001-6193-5166
dc.authoridTalu, Muhammed Fatih/0000-0003-1166-8404
dc.authorwosidAkkaya, Abdullah Erhan/A-4290-2019
dc.authorwosidTalu, Muhammed Fatih/W-2834-2017
dc.contributor.authorAkkaya, A. Erhan
dc.contributor.authorTalu, M. Fatih
dc.date.accessioned2024-08-04T20:41:07Z
dc.date.available2024-08-04T20:41:07Z
dc.date.issued2015
dc.departmentİnönü Üniversitesien_US
dc.description23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractEstimating the observer position in 3D environment using a visual image data is called the ego-motion. This method consists of three steps: in the first step, feature points of image are detected; in the second step, optical flow information is obtained; in the third and final step appropriate transformation parameters are calculated using the optimization method. Especially in enclosed areas where GPS can not be used or high estimation errors occured, in underground systems, visual egomotion is critically important. As well as the precise location estimation, providing a low cost solution is one of the superior properties of egomotion method. In this study, different egomotion methods has been observed, the numerical results in noisy and noiseless environment obtained by comparing the accuracy of algorithms presented in the table.en_US
dc.description.sponsorshipDept Comp Engn & Elect & Elect Engn,Elect & Elect Engn,Bilkent Univen_US
dc.identifier.endpage2465en_US
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-84939212084en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage2462en_US
dc.identifier.urihttps://hdl.handle.net/11616/96925
dc.identifier.wosWOS:000380500900599en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2015 23rd Signal Processing and Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectegomotionen_US
dc.subjectoptical flowen_US
dc.subjectstatic environmenten_US
dc.titlePerformance Evaluation of Ego-Motion Methods in Static Environmenten_US
dc.typeConference Objecten_US

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