WSN aided indoor localization for unmanned vehicles

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dc.authorscopusid48862103700
dc.authorscopusid25031391400
dc.authorscopusid11540535700
dc.authorscopusid6602534829
dc.contributor.authorTuna G.
dc.contributor.authorAltun Y.
dc.contributor.authorMumcu T.V.
dc.contributor.authorGulez K.
dc.date.accessioned2024-06-12T10:24:47Z
dc.date.available2024-06-12T10:24:47Z
dc.date.issued2012
dc.descriptionIEEE Computational Intelligence Society;International Neural Network Society;National Science Foundation of Chinaen_US
dc.description8th International Conference on Intelligent Computing Theories and Applications, ICIC 2012 -- 25 July 2012 through 29 July 2012 -- Huangshan -- 91948en_US
dc.description.abstractThis paper presents design considerations of an Extended Kalman Filter (EKF) based Wireless Sensor Network (WSN) aided indoor localization for unmanned vehicles (UV). In this approach, we integrate Received Signal Strength Indicator (RSSI) measurements into an EKF based localization system. The localization system primarily uses measurements from a Laser Range Finder (LRF) and keeps track of the current position of the UV using an EKF-based algorithm. The integration of RSSI measurements at predetermined intervals improves the accuracy of the localization system. It may also prevent large drifts from the ground truth, kidnapping, and loop closure errors. Player/Stage based simulation studies were conducted to prove the effectiveness of the proposed system. The results of the comparative simulations show that integrating RSSI measurements into the localization system improves the system's accuracy. © 2012 Springer-Verlag.en_US
dc.identifier.doi10.1007/978-3-642-31576-3_67
dc.identifier.endpage533en_US
dc.identifier.isbn9.78364E+12
dc.identifier.issn0302-9743
dc.identifier.scopus2-s2.0-84865032186en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage526en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-642-31576-3_67
dc.identifier.urihttps://hdl.handle.net/20.500.14551/16024
dc.identifier.volume7390 LNAIen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEkf; Localization; Player/Stage; Unmanned Vehicle; Wsnsen_US
dc.subjectComparative Simulation; Design Considerations; Ekf; Ground Truth; Indoor Localization; Laser Range Finders; Localization; Localization System; Loop Closure; Player/Stage; Received Signal Strength Indicators; Rssi Measurement; Simulation Studies; Wsns; Intelligent Computing; Wireless Sensor Networks; Unmanned Vehiclesen_US
dc.titleWSN aided indoor localization for unmanned vehiclesen_US
dc.typeConference Objecten_US

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