Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/4776
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yusefi, A. | - |
dc.contributor.author | Durdu, A. | - |
dc.contributor.author | Bozkaya, F. | - |
dc.contributor.author | Tiglioglu, S. | - |
dc.contributor.author | Yilmaz, A. | - |
dc.contributor.author | Sungur, C. | - |
dc.date.accessioned | 2023-11-11T09:03:40Z | - |
dc.date.available | 2023-11-11T09:03:40Z | - |
dc.date.issued | 2023 | - |
dc.identifier.issn | 2379-8858 | - |
dc.identifier.uri | https://doi.org/10.1109/TIV.2023.3316361 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.13091/4776 | - |
dc.description.abstract | An autonomous vehicle must be able to locate itself precisely and reliably in a large-scale outdoor area. In an attempt to enhance the localization of an autonomous vehicle based on Global Navigation Satellite System (GNSS)/Camera/Inertial Measurement Unit (IMU), when GNSS signals are interfered with or obstructed by reflected signals, a multi-step correction filter is used to smooth the inaccurate GNSS data obtained. The proposed solutions integrate a high amount of data from several sensors to compensate for the sensors' individual weaknesses. Additionally, this work proposes a Generalizable Deep Visual Intertial Odometry (GD-VIO) to better locate the vehicle in the event of GNSS outages. The algorithms suggested in this research have been tested through real-world experimentations, demonstrating that they are able to deliver accurate and trustworthy vehicle pose estimation. IEEE | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | IEEE Transactions on Intelligent Vehicles | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Autonomous vehicles | en_US |
dc.subject | Autonomous Vehicles | en_US |
dc.subject | Cameras | en_US |
dc.subject | Deep Visual Inertial Odometry | en_US |
dc.subject | Global navigation satellite system | en_US |
dc.subject | GNSS | en_US |
dc.subject | IMU | en_US |
dc.subject | Localization | en_US |
dc.subject | Location awareness | en_US |
dc.subject | Odometry | en_US |
dc.subject | Sensor Fusion | en_US |
dc.subject | Simultaneous localization and mapping | en_US |
dc.subject | Visualization | en_US |
dc.subject | Autonomous vehicles | en_US |
dc.subject | Global positioning system | en_US |
dc.subject | Autonomous Vehicles | en_US |
dc.subject | Deep visual inertial odometry | en_US |
dc.subject | Global Navigation Satellite Systems | en_US |
dc.subject | Inertial measurements units | en_US |
dc.subject | Localisation | en_US |
dc.subject | Location awareness | en_US |
dc.subject | Odometry | en_US |
dc.subject | Sensor fusion | en_US |
dc.subject | Simultaneous localization and mapping | en_US |
dc.subject | Cameras | en_US |
dc.title | A Generalizable D-VIO and Its Fusion with GNSS/IMU for Improved Autonomous Vehicle Localization | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/TIV.2023.3316361 | - |
dc.identifier.scopus | 2-s2.0-85173015693 | en_US |
dc.department | KTÜN | en_US |
dc.identifier.startpage | 1 | en_US |
dc.identifier.endpage | 15 | en_US |
dc.institutionauthor | … | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.authorscopusid | 57221601191 | - |
dc.authorscopusid | 55364612200 | - |
dc.authorscopusid | 58538957200 | - |
dc.authorscopusid | 58538473600 | - |
dc.authorscopusid | 57067174700 | - |
dc.authorscopusid | 24492409100 | - |
dc.identifier.scopusquality | Q1 | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.openairetype | Article | - |
crisitem.author.dept | 02.04. Department of Electrical and Electronics Engineering | - |
crisitem.author.dept | 02.04. Department of Electrical and Electronics Engineering | - |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections |
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