Comparison Of Different Approaches To
Adaptation Of Unscented Kalman Filter
For Non-Odometry Slam

Klečka, Jan

Comparison Of Different Approaches To Adaptation Of Unscented Kalman Filter For Non-Odometry Slam

but.event.date	26.04.2018	cs
but.event.title	Student EEICT 2018	cs
dc.contributor.author	Klečka, Jan
dc.date.accessioned	2019-03-04T10:05:52Z
dc.date.available	2019-03-04T10:05:52Z
dc.date.issued	2018	cs
dc.description.abstract	This paper is aimed at utilizing of an Unscented Kalman filter (UKF) for application on non-odometry SLAM problem. Non-odometry SLAM problem lacks state transitions function for part of state vector so theoretical part of the paper describes the derivation of three proposed modifications. The experimental part then shows experiments which evaluate modifications performance in reference to Extended Kalman filter. Experiments are based on simulation of monocular photogrammetry reconstruction problem.	en
dc.format	text	cs
dc.format.extent	358-362	cs
dc.format.mimetype	application/pdf	en
dc.identifier.citation	Proceedings of the 24th Conference STUDENT EEICT 2018. s. 358-362. ISBN 978-80-214-5614-3	cs
dc.identifier.isbn	978-80-214-5614-3
dc.identifier.uri	http://hdl.handle.net/11012/138256
dc.language.iso	en	cs
dc.publisher	Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií	cs
dc.relation.ispartof	Proceedings of the 24th Conference STUDENT EEICT 2018	en
dc.relation.uri	http://www.feec.vutbr.cz/EEICT/	cs
dc.rights	© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií	cs
dc.rights.access	openAccess	en
dc.subject	Unscented Kalman filter	en
dc.subject	UKF	en
dc.subject	SLAM	en
dc.subject	Recurrent estimation	en
dc.title	Comparison Of Different Approaches To Adaptation Of Unscented Kalman Filter For Non-Odometry Slam	en
dc.type.driver	conferenceObject	en
dc.type.status	Peer-reviewed	en
dc.type.version	publishedVersion	en
eprints.affiliatedInstitution.department	Fakulta elektrotechniky a komunikačních technologií	cs

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