GPS aided Extended Kalman Filter based localization for unmanned vehicles

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dc.authorscopusid48862103700
dc.authorscopusid10739803300
dc.authorscopusid6602534829
dc.contributor.authorTuna G.
dc.contributor.authorGüngör V.C.
dc.contributor.authorGülez K.
dc.date.accessioned2024-06-12T10:25:24Z
dc.date.available2024-06-12T10:25:24Z
dc.date.issued2012
dc.description2012 20th Signal Processing and Communications Applications Conference, SIU 2012 -- 18 April 2012 through 20 April 2012 -- Fethiye, Mugla -- 90786en_US
dc.description.abstractThis paper presents design considerations of a GPS-aided localization system for unmanned vehicles used in outdoor applications. The system proposed in this paper is based on Extended Kalman Filter (EKF) and also integrates Global Positioning System (GPS) measurements. Localization and navigation systems are base components of all unmanned vehicles since they give unmanned vehicles the ability of perceiving the environment in order to localize themselves and to navigate to a target. The advantage of the proposed system over a GPS based localization system is that the system works even if the GPS receiver does not receive any GPS signals. In this study, firstly proposed EKF-based localization system is explained, and then how to integrate GPS measurements into this localization system is explained. With simulation studies in MATLAB, the effectiveness of the system is shown. The simulations show that the proposed localization system gives accurate results with negligible positional errors. © 2012 IEEE.en_US
dc.identifier.doi10.1109/SIU.2012.6204515
dc.identifier.isbn9.78147E+12
dc.identifier.scopus2-s2.0-84863422452en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2012.6204515
dc.identifier.urihttps://hdl.handle.net/20.500.14551/16330
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.relation.ispartof2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBase Components; Design Considerations; Gps Receivers; Gps Signals; Kalman Filter Based Localization; Localization And Navigation; Localization System; Positional Errors; Simulation Studies; Extended Kalman Filters; Matlab; Navigation Systems; Signal Processing; Unmanned Vehicles; Global Positioning Systemen_US
dc.titleGPS aided Extended Kalman Filter based localization for unmanned vehiclesen_US
dc.title.alternativeİnsansiz araçlar i?çi?n GPS destekli? Geni?şleti?lmi?ş Kalman Fi?ltresi? tabanli konumladirmaen_US
dc.typeConference Objecten_US

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