Automatic Detection of Navigational Signs on Inland Waterways Using YOLO Neural Networks

The study analysed the detection of navigation signs for inland navigation using YOLO neural networks. All major versions of the network available at the time of the study were analysed, i.e. from YOLO 1 to YOLO 12. The study considered two criteria: detection efficiency and detection accuracy. The...

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Bibliografski detalji

Glavni autori:	Pawel Adamski, Jacek Lubczonek
Format:	Artigo
Jezik:	Inglês
Izdano:	Gdynia Maritime University 2025-12-01
Serija:	TransNav
Teme:	deep learning inland waterway navigation navigational sign detection yolo neural networks computer vision in shipping object detection accuracy inland electronic navigational chart (ienc) autonomous inland vessels
Online pristup:	https://www.transnav.eu/files/Automatic_Detection_of_Navigational_Signs_on_Inland_Waterways_Using_YOLO_Neural_Networks,1608.pdf
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