Methods for Improving the Linearization Problem of Extended Kalman Filter
In this paper, in order to reduce the linearization error of Kalman filters family, three new methods are proposed and their effectiveness and feasibility are evaluated by means of Simultaneous Localization and Mapping (SLAM) problem. In derivative based methods of Kalman filters family, linearizati...
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Veröffentlicht in: | Journal of intelligent & robotic systems 2015-06, Vol.78 (3-4), p.485-497 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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