Accurate and real-time visual detection algorithm for environmental perception of USVS under all-weather conditions

Owing to the intricate and ever-changing nature of the marine environment, traditional marine survey methods are subject to numerous limitations. Unmanned surface vehicles (USVs) have gained significant popularity for their role in automatically identifying and positioning targets in the ocean. To e...

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Veröffentlicht in:	Journal of real-time image processing Jg. 21; H. 2; S. 36
Hauptverfasser:	Dong, Kaiyuan, Liu, Tao, Shi, Zhen, Zhang, Yang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2024 Springer Nature B.V
Schlagworte:	Accuracy Algorithms Automatic vehicle identification systems Classification Computer Graphics Computer Science Datasets Deep learning Design Frames per second Image Processing and Computer Vision Localization Marine environment Multimedia Information Systems Neural networks Object recognition Optimization Pattern Recognition Perception Real time Signal,Image and Speech Processing Surface vehicles Target detection Target recognition Underwater exploration Unmanned vehicles Weather Maritime dataset Pyramid attention networks Multi-scale feature fusion Unmanned surface vehicles Sea surface object detection
ISSN:	1861-8200, 1861-8219
Online-Zugang:	Volltext
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