Performance Evaluation of YOLOv4 for Instant Object Detection in UAVs

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dc.contributor.authorKeskinoglu, Gul Bahar
dc.contributor.authorYesilkaya, Nimet Seleri
dc.contributor.authorBayraktar, Irem
dc.contributor.authorKose, Ercan
dc.date.accessioned2025-03-17T12:25:38Z
dc.date.available2025-03-17T12:25:38Z
dc.date.issued2024
dc.departmentTarsus Üniversitesi
dc.description32nd IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2024--AG289 Tarsus Univ Campus, Mersin, TURKEY
dc.description.abstractUnmanned Aerial Vehicles (UAVs) have become integral in various research domains due to the advantages they provide. Current UAV systems rely on Global Navigation Satellite Systems (GNSS) for flight control and sensors for obstacle detection, yet fully autonomous decision-making remains a challenge. This study evaluates the performance of YOLOv4, a Convolutional Neural Network (CNN) image recognition algorithm, for instantaneous object detection and classification in UAV-captured aerial images. The study demonstrates the applicability of YOLOv4 in real-time object detection and classification through UAV image feeds. The proposed approach advances the understanding of deploying CNNs in UAVs, offering a cost-effective solution for real-time object detection and classification, essential for autonomous UAV operations.
dc.description.sponsorshipIEEE,IEEE Turkey,Koluman & Berdan,Loodos,Figes,Turkcell,Yildirim Elect
dc.identifier.doi10.1109/SIU61531.2024.10600728
dc.identifier.isbn979-8-3503-8897-8
dc.identifier.isbn979-8-3503-8896-1
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-85200867107
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/SIU61531.2024.10600728
dc.identifier.urihttps://hdl.handle.net/20.500.13099/1795
dc.identifier.wosWOS:001297894700014
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIeee
dc.relation.ispartof32nd Ieee Signal Processing and Communications Applications Conference, Siu 2024
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250316
dc.subjectobject detection
dc.subjectYOLOv4
dc.subjectUAV
dc.titlePerformance Evaluation of YOLOv4 for Instant Object Detection in UAVs
dc.typeConference Object

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