Toy, I.Durdu, A.Yusefi, A.2024-06-012024-06-0120249798350329940https://doi.org/10.1109/INFOTEH60418.2024.10495999https://hdl.handle.net/20.500.13091/5614Digitalni ozon Banja Luka;DWELT Software Banja Luka;et al.;MTEL Banja Luka;Municipality of East Ilidza;Municipality of East Stari Grad23rd International Symposium INFOTEH-JAHORINA, INFOTEH 2024 -- 20 March 2024 through 22 March 2024 -- 199053Dead 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.eninfo:eu-repo/semantics/closedAccessAutonomous vehicle systemDead ReckoningInertial measurement UnitLocalizationSensor FusionGlobal positioning systemIntelligent systemsNavigation'currentAutonomous vehicle systemAutonomous VehiclesDead reckoningDead reckoning systemInertial measurements unitsLocalisationSensor fusionVehicle localizationVehicle systemAutonomous vehiclesConference Object10.1109/INFOTEH60418.2024.104959992-s2.0-85192154826