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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/31237
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dc.contributor.authorAl Shabi M-
dc.contributor.authorHatamleh K-
dc.contributor.authorAl Shaer S-
dc.contributor.authorSalameh I-
dc.contributor.authorGadsden SA-
dc.contributor.editorKadar I-
dc.date.accessioned2025-02-27T20:18:42Z-
dc.date.available2025-02-27T20:18:42Z-
dc.date.issued2016-05-17-
dc.identifier.issn0277-786X-
dc.identifier.issn1996-756X-
dc.identifier.urihttp://hdl.handle.net/11375/31237-
dc.description.abstractIn this paper, a comprehensive comparison is made of the following sigma-point Kalman filters: unscented Kalman filter (UKF), cubature Kalman filter (CKF), and the central difference Kalman filter (CDKF). A simulation based on a complex maneuvering road (an s-path) is used as a benchmark problem. This paper studies the response, stability, robustness, convergence, and computational complexity of the filters. Future work will look at implementing the methods on a robot built for experimentation.-
dc.publisherSPIE, the international society for optics and photonics-
dc.subject40 Engineering-
dc.subject4006 Communications Engineering-
dc.subject4009 Electronics, Sensors and Digital Hardware-
dc.subject51 Physical Sciences-
dc.subject5102 Atomic, Molecular and Optical Physics-
dc.titleA comprehensive comparison of sigma-point Kalman filters applied on a complex maneuvering road-
dc.typeArticle-
dc.date.updated2025-02-27T20:18:42Z-
dc.contributor.departmentMechanical Engineering-
dc.identifier.doihttps://doi.org/10.1117/12.2224233-
Appears in Collections:Mechanical Engineering Publications

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