Three-Dimensional CKANs: UUV Noncooperative Target State Estimation Approach Based on 3D Convolutional Kolmogorov–Arnold Networks

Accurate and stable estimation of the position and trajectory of noncooperative targets is crucial for the safe navigation and operation of sonar-equipped underwater unmanned vehicles (UUVs). However, the uncertainty associated with sonar observations and the unpredictability of noncooperative targe...

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Autors principals:	Changjian Lin, Dan Yu, Shibo Lin
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-11-01
Col·lecció:	Journal of Marine Science and Engineering
Matèries:	underwater unmanned vehicle noncooperative target state estimation 3D convolutional neural network Bayesian methods fault tolerance
Accés en línia:	https://www.mdpi.com/2077-1312/12/11/2040
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