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...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2016
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| Subjects: | |
| 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 |