A Robust Localization Method for Unmanned Surface Vehicle (USV) Navigation Using Fuzzy Adaptive Kalman Filtering

Recently, multi-sensor navigation has emerged as a viable approach in autonomous vehicles' development. Kalman filtering has been widely applied in multi-sensor data fusion, and researchers are trialing variants of the Kalman Filter (KF) to improve the operational robustness of vehicles in a ra...

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Vydané v:	IEEE access Ročník 7; s. 46071 - 46083
Hlavní autori:	Liu, Wenwen, Liu, Yuanchang, Bucknall, Richard
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptive algorithms Adaptive estimation Adaptive filters Adaptive systems Algorithms Autonomous navigation Data integration Data models fuzzy logic Heuristic algorithms Kalman filters Localization method multi-sensor data fusion Multisensor fusion Navigation Noise measurement Sensors Surface vehicles Unmanned vehicles Unscented Kalman Filter (UKF) USV navigation Vehicles
ISSN:	2169-3536, 2169-3536
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