Navnet: AUV Navigation Through Deep Sequential Learning

Navnet: AUV Navigation Through Deep Sequential Learning

Achieving accurate navigation and localization is crucial for Autonomous Underwater Vehicle (AUV). Traditional navigation algorithms, such as Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF), require the system model and measurement model for state estimation to obtain the AUV position...

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Bibliographic Details
Main Authors: Xin Zhang, Bo He, Guangliang Li, Xiaokai Mu, Ying Zhou, Tanji Mang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Autonomous underwater vehicle
navigation
extended Kalman filter
unscented Kalman filter
sequential learning
Online Access:https://ieeexplore.ieee.org/document/9043561/

Internet

https://ieeexplore.ieee.org/document/9043561/

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