Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/5614
Full metadata record
DC Field | Value | Language |
---|---|---|
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.identifier.isbn | 9798350329940 | - |
dc.identifier.uri | https://doi.org/10.1109/INFOTEH60418.2024.10495999 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.13091/5614 | - |
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.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 |
dc.identifier.doi | 10.1109/INFOTEH60418.2024.10495999 | - |
dc.identifier.scopus | 2-s2.0-85192154826 | en_US |
dc.department | KTÜN | en_US |
dc.identifier.wos | WOS:001215550500077 | en_US |
dc.institutionauthor | Yusefi, A. | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.authorscopusid | 57222083572 | - |
dc.authorscopusid | 55364612200 | - |
dc.authorscopusid | 57221601191 | - |
item.grantfulltext | none | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | No Fulltext | - |
item.openairetype | Conference Object | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.04. 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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