Quadrotor attitude estimation using adaptive fading multiplicative EKF

dc.contributor.author	Johansen, Tor-Aleksander
dc.contributor.author	Kristiansen, Raymond
dc.date.accessioned	2018-01-22T13:10:34Z
dc.date.available	2018-01-22T13:10:34Z
dc.date.issued	2017-07-03
dc.description.abstract	This paper presents the implementation of an adaptive fading multiplicative extended Kalman filter (AFMEKF), applied to the problem of attitude estimation in the context of quadrotors. The extended Kalman filter is adapted for use with quaternions and made adaptive to account for inaccurate measurement information. Simulations have been conducted in order to validate the filter performance.	en_US
dc.identifier.citation	Johansen TA, Kristiansen R Quadrotor attitude estimation using adaptive fading multiplicative EKF. American Control Conference (ACC), IEEE conference proceedings 2017	en_US
dc.identifier.cristinID	FRIDAID 1526059
dc.identifier.doi	10.23919/ACC.2017.7963120
dc.identifier.issn	0743-1619
dc.identifier.issn	2378-5861
dc.identifier.uri	https://hdl.handle.net/10037/12001
dc.language.iso	eng	en_US
dc.publisher	IEEE	en_US
dc.relation.journal	American Control Conference (ACC)
dc.rights.accessRights	openAccess	en_US
dc.subject	VDP::Technology: 500	en_US
dc.title	Quadrotor attitude estimation using adaptive fading multiplicative EKF	en_US
dc.type	Konferansebidrag	no
dc.type	Conference object	en_US