FEKF Estimation for Mobile Robot Localization and Mapping Considering Noise Divergence

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FEKF Estimation for Mobile Robot Localization and Mapping Considering Noise Divergence

This paper proposed an approach of Fuzzy-Extended Kalman Filter(FEKF) for mobile robot localization and mapping under unknown noise characteristics. The technique apply the information extracted from EKF measurement innovation to derive the best estimation output for a mobile robot during its observ...

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Bibliographic Details
Main Authors:	Hamzah, Ahmad, Nur Aqilah, Othman, Saifudin, Razali, Mohd Razali, Daud
Format:	Conference or Workshop Item
Language:	English English
Published:	2016
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/11195/ http://umpir.ump.edu.my/id/eprint/11195/1/FEKF%20Estimation%20for%20Mobile%20Robot%20Localization%20and%20Mapping%20Considering%20Noise%20Divergence.pdf http://umpir.ump.edu.my/id/eprint/11195/7/fkee-2015-Hamzah-FEKF%20Estimation%20for%20Mobile.pdf

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