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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE access Jg. 7; S. 46071 - 46083
Hauptverfasser:	Liu, Wenwen, Liu, Yuanchang, Bucknall, Richard
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!