Localization Using Two Different Imu Sensor-Based Dead Reckoning System

dc.contributor.author Toy, I.
dc.contributor.author Durdu, A.
dc.contributor.author Yusefi, A.
dc.date.accessioned 2024-06-01T08:58:13Z
dc.date.available 2024-06-01T08:58:13Z
dc.date.issued 2024
dc.description Digitalni ozon Banja Luka;DWELT Software Banja Luka;et al.;MTEL Banja Luka;Municipality of East Ilidza;Municipality of East Stari Grad en_US
dc.description 23rd International Symposium INFOTEH-JAHORINA, INFOTEH 2024 -- 20 March 2024 through 22 March 2024 -- 199053 en_US
dc.description.abstract Dead 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.identifier.doi 10.1109/INFOTEH60418.2024.10495999
dc.identifier.isbn 9798350329940
dc.identifier.scopus 2-s2.0-85192154826
dc.identifier.uri https://doi.org/10.1109/INFOTEH60418.2024.10495999
dc.identifier.uri https://hdl.handle.net/20.500.13091/5614
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof 2024 23rd International Symposium INFOTEH-JAHORINA, INFOTEH 2024 - Proceedings en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Autonomous vehicle system en_US
dc.subject Dead Reckoning en_US
dc.subject Inertial measurement Unit en_US
dc.subject Localization en_US
dc.subject Sensor Fusion en_US
dc.subject Global positioning system en_US
dc.subject Intelligent systems en_US
dc.subject Navigation en_US
dc.subject 'current en_US
dc.subject Autonomous vehicle system en_US
dc.subject Autonomous Vehicles en_US
dc.subject Dead reckoning en_US
dc.subject Dead reckoning system en_US
dc.subject Inertial measurements units en_US
dc.subject Localisation en_US
dc.subject Sensor fusion en_US
dc.subject Vehicle localization en_US
dc.subject Vehicle system en_US
dc.subject Autonomous vehicles en_US
dc.title Localization Using Two Different Imu Sensor-Based Dead Reckoning System en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.institutional Yusefi, A.
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gdc.description.department KTÜN en_US
gdc.description.departmenttemp Toy, I., Research and Development, Mpg Machinery Production Group Inc. Co., Konya, Turkey en_US
gdc.description.departmenttemp Durdu, A., Konya Technical University, Robotics Automation Control Laboratory (RAC-LAB), Department of Electrical and Electronics Engineering, Konya, Turkey en_US
gdc.description.departmenttemp Yusefi, A., Konya Technical University, Robotics Automation Control Laboratory (RAC-LAB), Department of Electrical and Electronics Engineering, Konya, Turkey en_US
gdc.description.departmenttemp Toy, I., Research and Development, Mpg Machinery Production Group Inc. Co., Konya, Turkey en_US
gdc.description.departmenttemp Durdu, A., Konya Technical University, Robotics Automation Control Laboratory (RAC-LAB), Department of Electrical and Electronics Engineering, Konya, Turkey en_US
gdc.description.departmenttemp Yusefi, A., Konya Technical University, Robotics Automation Control Laboratory (RAC-LAB), Department of Electrical and Electronics Engineering, Konya, Turkey en_US
gdc.description.endpage 5
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 1
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gdc.virtual.author Durdu, Akif
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