Observability Analysis and Adaptive Information Fusion for Integrated Navigation of Unmanned Ground Vehicles

Integrated navigation of unmanned ground vehicles (UGV) is significant for many advanced intelligent transportation system applications. Adaptive information fusion technique based on observability analysis has a great potential to enhance UGV integrated navigation systems for the capability of high...

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Bibliographic Details
Published in:	IEEE transactions on industrial electronics (1982) Vol. 67; no. 9; pp. 7659 - 7668
Main Authors:	Shen, Kai, Wang, Meiling, Fu, Mengyin, Yang, Yi, Yin, Zhang
Format:	Journal Article
Language:	English
Published:	New York IEEE 01-09-2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptive filters Adaptive information fusion Adaptive systems Data integration Fault tolerance federated Kalman filter Global navigation satellite system Information management Information sharing Intelligent transportation systems Kalman filters Mathematical model Navigation systems Observability observability analysis Reliability aspects Road tests Sensors unmanned ground vehicle Unmanned ground vehicles Upgrading Urban areas
Online Access:	Get full text
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