DocumentCode
3244478
Title
Altitude information fusion of miniature unmanned helicopter based on LSSVM
Author
Jing, Li ; Wu Jiande ; Yugang, Fan ; Xiaodong, Wang ; Weili, Chen
Author_Institution
Fac. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China
fYear
2010
fDate
20-21 Oct. 2010
Firstpage
262
Lastpage
264
Abstract
The miniature unmanned helicopter exhibits a highly nonlinear, high dimensional feature space and uncertain conditions. This paper describes an altitude information fusion method based on Least Squares Support Vector Machine (LSSVM). This method uses small sample without human experience, modeling by the measured data from the GPS and INS. The simulations results have demonstrated the modeling well show the helicopter´s actual altitude in the hover state.
Keywords
Global Positioning System; computerised navigation; helicopters; least squares approximations; remotely operated vehicles; sensor fusion; support vector machines; GPS; INS; altitude information fusion; least squares support vector machine; miniature unmanned helicopter; Education; Least Squares Support Vector Machine (LSSVM); information fusion; miniature unmanned helicopter altitude;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Acquisition and Modeling (KAM), 2010 3rd International Symposium on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8004-3
Type
conf
DOI
10.1109/KAM.2010.5646139
Filename
5646139
Link To Document