Navigation Attitude Prediction for Unmanned Surface Vessels in Wave Environments Using Improved Unscented Kalman Filter and Digital Twin Model

Unmanned surface vehicles (USVs) face significant challenges in long-term operations in complex and dynamic marine environments. These include abnormal attitudes, low accuracy in navigation attitude prediction, and difficulties in maintaining operational stability and equipment safety. To address th...

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Bibliographic Details

Published in:	Journal of Marine Science and Engineering
Main Authors:	Shaochun Qu, Xuemeng Men, Minghao Liu, Jian Cui, Husheng Wu, Yanfang Fu
Format:	Article
Language:	English
Published:	MDPI AG 2025-05-01
Subjects:	unmanned surface vessel navigation attitude prediction digital twin unscented kalman filtering parameter identification
Online Access:	https://www.mdpi.com/2077-1312/13/5/932