Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6987
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dc.contributor.authorLezki, Hazal-
dc.contributor.authorYetik, İmam Şamil-
dc.date.accessioned2021-09-11T15:44:42Z-
dc.date.available2021-09-11T15:44:42Z-
dc.date.issued2020en_US
dc.identifier.citation28th Signal Processing and Communications Applications Conference (SIU) -- OCT 05-07, 2020 -- ELECTR NETWORKen_US
dc.identifier.isbn978-1-7281-7206-4-
dc.identifier.issn2165-0608-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6987-
dc.description.abstractLocation estimation for ground and air vehicles is mostly realized by fusion of global positioning system (gps / gnss) and data from sensors such as inertial measurement unit, barometer, wheel odometer, etc. However, in case GPS is not available, location estimation is an open problem. Considering the various advantages and disadvantages of all these sensors that can be used for position estimation, it is noticed that there is no single and absolute solution to the problem of three-dimensional, 6 degrees-of-freedom localization. Especially in GPS-denied environments, precise localization methods for ground and air vehicles are still an important research area. While these periods of studies on autonomous vehicles gained speed, the localization problem with camera and lidar has been an alternative research topic which has strengthened its place in the literature. In this study; a new solution is proposed that addresses the problem of 6-DOF localization using a single camera and lidar where gps signal is not available.en_US
dc.description.sponsorshipIstanbul Medipol Univen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2020 28Th Signal Processing And Communications Applications Conference (Siu)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectVisual-Lidar Odometryen_US
dc.subjectlocalization using cameraen_US
dc.subjectlocalization in gps-denied environmenten_US
dc.subjectcomputer visionen_US
dc.titleLocalization Using Single Camera and Lidar in Gps-Denied Environmentsen_US
dc.typeConference Objecten_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conferenceen_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.identifier.wosWOS:000653136100484en_US
dc.institutionauthorYetik, Imam Şamil-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference28th Signal Processing and Communications Applications Conference (SIU)en_US
item.openairetypeConference Object-
item.languageiso639-1tr-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.5. Department of Electrical and Electronics Engineering-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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