Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/2498
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dc.contributor.authorYıldız, Berat-
dc.contributor.authorDurdu, Akif-
dc.contributor.authorKayabaşı, Ahmet-
dc.contributor.authorDuramaz, Mehmet-
dc.date.accessioned2022-05-23T20:23:43Z-
dc.date.available2022-05-23T20:23:43Z-
dc.date.issued2022-
dc.identifier.issn1300-0632-
dc.identifier.issn1303-6203-
dc.identifier.urihttps://doi.org/10.3906/elk-2008-147-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/2498-
dc.description.abstractAutonomous robotic systems (ARS) serve in many areas of daily life. The sensors have critical importance for these systems. The sensor data obtained from the environment should be as accurate and reliable as possible and correctly interpreted by the autonomous robot. Since sensors have advantages and disadvantages over each other they should be used together to reduce errors. In this study, Convolutional Neural Network (CNN) based sensor fusion was applied to ARS to contribute the autonomous driving. In a real-time application, a camera and LIDAR sensor were tested with these networks. The novelty of this work is that the uniquely collected data set was trained in a new CNN network and sensor fusion was performed between CNN layers. The results showed that CNN based sensor fusion process was more effective than the individual usage of the sensors on the ARS.en_US
dc.language.isoenen_US
dc.publisherTubitak Scientific & Technical Research Council Turkeyen_US
dc.relation.ispartofTurkish Journal Of Electrical Engineering And Computer Sciencesen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAutonomous robotic systemsen_US
dc.subjectdeep learningen_US
dc.subjectconvolutional neural networksen_US
dc.subjectsensor fusionen_US
dc.subjectMultipleen_US
dc.subjectAlgorithmen_US
dc.subjectCameraen_US
dc.titleCNN based sensor fusion method for real-time autonomous robotics systemsen_US
dc.typeArticleen_US
dc.identifier.doi10.3906/elk-2008-147-
dc.identifier.scopus2-s2.0-85125919177en_US
dc.departmentMeslek Yüksekokulları, Teknik Bilimler Meslek Yüksekokulu, Elektronik ve Otomasyon Bölümüen_US
dc.authoridDurdu, Akif/0000-0002-5611-2322-
dc.authorwosidDurdu, Akif/AAQ-4344-2020-
dc.identifier.volume30en_US
dc.identifier.issue1en_US
dc.identifier.startpage79en_US
dc.identifier.endpage93en_US
dc.identifier.wosWOS:000745996200003en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.trdizinid527551en_US
dc.identifier.scopusqualityQ3-
item.openairetypeArticle-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept02.04. Department of Electrical and Electronics Engineering-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
Teknik Bilimler Meslek Yüksekokulu Koleskiyonu
TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections
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