A Generalizable D-Vio and Its Fusion With Gnss/imu for Improved Autonomous Vehicle Localization

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.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.identifier.doi 10.1109/TIV.2023.3316361
dc.identifier.issn 2379-8858
dc.identifier.issn 2379-8904
dc.identifier.scopus 2-s2.0-85173015693
dc.identifier.uri https://doi.org/10.1109/TIV.2023.3316361
dc.identifier.uri https://hdl.handle.net/20.500.13091/4776
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
dspace.entity.type Publication
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gdc.coar.access metadata only access
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gdc.description.department KTÜN en_US
gdc.description.departmenttemp Yusefi, A., MPG Machinery Production Group Inc. Co., Konya, Turkey; Durdu, A., Robotics Automation Control Laboratory (RAC-LAB), Department of Electrical and Electronics Engineering, Konya Technical University, Konya, Turkey; Bozkaya, F., Robotics Automation Control Laboratory (RAC-LAB), Department of Computer Engineering, Konya Technical University, Konya, Turkey; Tiglioglu, S., Robotics Automation Control Laboratory (RAC-LAB), Department of Computer Engineering, Konya Technical University, Konya, Turkey; Yilmaz, A., Photogrammetric Computer Vision Laboratory, Department of Civil, Environmental and Geodetic Engineering, Ohio State University, Ohio, USA; Sungur, C., Robotics Automation Control Laboratory (RAC-LAB), Department of Electrical and Electronics Engineering, Konya Technical University, Konya, Turkey en_US
gdc.description.endpage 15 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 1 en_US
gdc.description.volume 9
gdc.description.wosquality Q1
gdc.identifier.openalex W4386824816
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gdc.opencitations.count 0
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gdc.scopus.citedcount 6
gdc.virtual.author Durdu, Akif
gdc.virtual.author Sungur, Cemil
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