dc.contributor.author | Sveier, Aksel | |
dc.contributor.author | Egeland, Olav | |
dc.date.accessioned | 2019-02-18T08:58:10Z | |
dc.date.available | 2019-02-18T08:58:10Z | |
dc.date.created | 2018-09-03T16:03:41Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | IFAC-PapersOnLine. 2018, 51 (13), 186-191. | nb_NO |
dc.identifier.issn | 2405-8963 | |
dc.identifier.uri | http://hdl.handle.net/11250/2585829 | |
dc.description.abstract | This paper presents a moving horizon estimator (MHE) for estimating pose (attitude and position) of a dynamic system where pose measurements are available in the form of unit dual quaternions. A unit dual quaternion is an 8 parameter nonsingular representation of pose and has previously been used for pose estimation with Kalman filters (KF). We formulate a cost function in terms of the quaternion product and propose a MHE that includes the N latest measurements in the estimation. In addition, we suggest a measurement relation based on the Cayley transform of the noise, where the noise has a Gaussian distribution about the x-y-z and roll-pitch-yaw parameters of the pose. The MHE is compared against the dual quaternion multiplicative extended KF (DQ-MEKF) and the twistor-based unscented KF (T-UKF) through 100 Monte Carlo simulations, where the simulated data is generated according to the defined system dynamics. It is found that the MHE gives more accurate pose estimation results. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | International Federation of Automatic Control (IFAC) | nb_NO |
dc.title | Pose Estimation using Dual Quaternions and Moving Horizon Estimation | nb_NO |
dc.title.alternative | Pose Estimation using Dual Quaternions and Moving Horizon Estimation | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.pagenumber | 186-191 | nb_NO |
dc.source.volume | 51 | nb_NO |
dc.source.journal | IFAC-PapersOnLine | nb_NO |
dc.source.issue | 13 | nb_NO |
dc.identifier.doi | 10.1016/j.ifacol.2018.07.275 | |
dc.identifier.cristin | 1606374 | |
dc.description.localcode | © 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. | nb_NO |
cristin.unitcode | 194,64,92,0 | |
cristin.unitname | Institutt for maskinteknikk og produksjon | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |