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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Detalhes bibliográficos

Principais autores:	Pawel Adamski, Jacek Lubczonek
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Gdynia Maritime University 2025-12-01
coleção:	TransNav
Assuntos:	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
Acesso em linha:	https://www.transnav.eu/files/Automatic_Detection_of_Navigational_Signs_on_Inland_Waterways_Using_YOLO_Neural_Networks,1608.pdf
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