Attitude estimation method based on extended Kalman filter algorithm with 22 dimensional state vector for low-cost agricultural UAVOA
Attitude estimation method based on extended Kalman filter algorithm with 22 dimensional state vector for low-cost agricultural UAV
Wu Helong;Pei Xinbiao;Li Jihui;Gao Huibin;Bai Yue
Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,P.R.ChinaUniversity of Chinese Academy of Sciences,Beijing 100049,P.R.ChinaChangchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,P.R.ChinaChangchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,P.R.ChinaUniversity of Chinese Academy of Sciences,Beijing 100049,P.R.China
coaxial sixteen-rotor unmanned aerial vehicle ( UAV )extended Kalman filter ( EKF)quaternionlow-cost
coaxial sixteen-rotor unmanned aerial vehicle ( UAV )extended Kalman filter ( EKF)quaternionlow-cost
《高技术通讯（英文版）》 2020 (2)
125-135,11
Supported bythe National Natural Science Foundation of China(No.11372309,61304017),Youth Innovation Promotion Association(No.2014192),the Provincial Special Funds Project of Science and Technology Cooperation(No.2017SYHZ0024)and Key Technology Development Project of Jilin Province(No.20150204074GX).
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