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Model-based filters for 3D positioning of marine mammals using AHRS- and GPS-equipped UAVs
Gaspar, T; Oliveira, P; Silvestre, C
2015-10-01
Source PublicationIEEE Transactions On Aerospace and Electronic Systems
ISSN0018-9251
Pages3307-3320
AbstractThis work tackles the problem of estimating the position of a marine mammal moving at the ocean surface, by using a UAV equipped with a camera, a GPS, and an Attitude and Heading Reference System. Two Kalman Filters, inserted on a Multiple-Model Adaptive Estimation framework, which use an unstable model for the target depending on an unknown parameter that must be identified (its angular speed), are proposed and compared with an Extended Kalman Filter.
KeywordPositioning and Tracking Kalman Filtering Multiple-Model Adaptive Estimation Parameter Identification Nonlinear Estimation Monocular Vision Systems
Language英語English
The Source to ArticlePB_Publication
PUB ID14046
Document TypeJournal article
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Recommended Citation
GB/T 7714
Gaspar, T,Oliveira, P,Silvestre, C. Model-based filters for 3D positioning of marine mammals using AHRS- and GPS-equipped UAVs[J]. IEEE Transactions On Aerospace and Electronic Systems, 2015, 3307-3320.
APA Gaspar, T., Oliveira, P., & Silvestre, C (2015). Model-based filters for 3D positioning of marine mammals using AHRS- and GPS-equipped UAVs. IEEE Transactions On Aerospace and Electronic Systems, 3307-3320.
MLA Gaspar, T,et al."Model-based filters for 3D positioning of marine mammals using AHRS- and GPS-equipped UAVs".IEEE Transactions On Aerospace and Electronic Systems (2015):3307-3320.
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