Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/5614
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dc.contributor.authorToy, I.-
dc.contributor.authorDurdu, A.-
dc.contributor.authorYusefi, A.-
dc.date.accessioned2024-06-01T08:58:13Z-
dc.date.available2024-06-01T08:58:13Z-
dc.date.issued2024-
dc.identifier.isbn9798350329940-
dc.identifier.urihttps://doi.org/10.1109/INFOTEH60418.2024.10495999-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/5614-
dc.descriptionDigitalni ozon Banja Luka;DWELT Software Banja Luka;et al.;MTEL Banja Luka;Municipality of East Ilidza;Municipality of East Stari Graden_US
dc.description23rd International Symposium INFOTEH-JAHORINA, INFOTEH 2024 -- 20 March 2024 through 22 March 2024 -- 199053en_US
dc.description.abstractDead reckoning estimates the current position, speed, and direction of moving objects using known position information. Localization determines an object's location on the map, categorized into human and vehicle localization. Autonomous vehicles rely on accurate vehicle localization for effective task execution. While Global Navigation Satellite System (GNSS) is a popular method, weak or absent signals can pose challenges. This study utilizes Inertial Measurement Unit (IMU) sensors for localization, integrating a second IMU to enhance accuracy. Fusing data from two IMU sensors, a dead reckoning system achieves 1.02 degrees and 1.41 meters errors in rotation and translation with a single IMU, and 1.01 degrees and 1.04 meters with two IMUs, respectively. © 2024 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2024 23rd International Symposium INFOTEH-JAHORINA, INFOTEH 2024 - Proceedingsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAutonomous vehicle systemen_US
dc.subjectDead Reckoningen_US
dc.subjectInertial measurement Uniten_US
dc.subjectLocalizationen_US
dc.subjectSensor Fusionen_US
dc.subjectGlobal positioning systemen_US
dc.subjectIntelligent systemsen_US
dc.subjectNavigationen_US
dc.subject'currenten_US
dc.subjectAutonomous vehicle systemen_US
dc.subjectAutonomous Vehiclesen_US
dc.subjectDead reckoningen_US
dc.subjectDead reckoning systemen_US
dc.subjectInertial measurements unitsen_US
dc.subjectLocalisationen_US
dc.subjectSensor fusionen_US
dc.subjectVehicle localizationen_US
dc.subjectVehicle systemen_US
dc.subjectAutonomous vehiclesen_US
dc.titleLocalization Using Two Different IMU Sensor-Based Dead Reckoning Systemen_US
dc.typeConference Objecten_US
dc.identifier.doi10.1109/INFOTEH60418.2024.10495999-
dc.identifier.scopus2-s2.0-85192154826en_US
dc.departmentKTÜNen_US
dc.identifier.wosWOS:001215550500077en_US
dc.institutionauthorYusefi, A.-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.authorscopusid57222083572-
dc.authorscopusid55364612200-
dc.authorscopusid57221601191-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.openairetypeConference Object-
item.cerifentitytypePublications-
crisitem.author.dept02.04. Department of Electrical and Electronics Engineering-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections
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