Публікація:
Research of Methods for Processing Analog Video Signals of FPV Drones for Identification Systems Based on YOLOV9

dc.contributor.authorLuchaninov, K.
dc.date.accessioned2026-05-08T18:57:45Z
dc.date.issued2026
dc.description.abstractThe article addresses the problem of reduced performance of identification systems based on YOLOv9 when using analog video signals from FPV drones operating in the 5.8 GHz band. An analysis of the impact of noise, transmission artifacts, and digitization processes on input data quality and object detection accuracy is conducted. An approach to improving the informativeness of the video stream is proposed through the application of signal preprocessing methods and adaptation of the neural network to analog channel conditions. The obtained results confirm the feasibility of using a comprehensive preprocessing pipeline to enhance the reliability of computer vision systems for FPV drones.
dc.identifier.citationLuchaninov K. Research of Methods for Processing Analog Video Signals of FPV Drones for Identification Systems Based on YOLOV9 // Collection of Students' Scientific Paper «Automation and Development Of Electronic Devices» АDED-2026 Part 1 (Key infrastructure 2026) - Kharkiv, 2026. – 230p with. P. 181-185.
dc.identifier.urihttps://openarchive.nure.ua/handle/document/34443
dc.language.isoen_US
dc.publisherХНУРЕ
dc.subjectFPV drone
dc.subjectanalog video signal
dc.subjectYOLOv9
dc.subjectsignal processing
dc.titleResearch of Methods for Processing Analog Video Signals of FPV Drones for Identification Systems Based on YOLOV9
dc.typeArticle
dspace.entity.typePublication

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