NDLI: Application of extended Kalman filtering on aircraft pose prediction of image sequences

Content Provider	Springer Nature Link
Author	Yang, Li mei Guo, Li hong
Copyright Year	2007
Abstract	In allusion to the character of monocular image sequences, a method based on extended Kalman filtering to predict the aircraft pose of image sequences is proposed. With α — β — γ stable state filtering technique, a mathematics model is built to realize the prediction of aircraft pose of image sequences. In the model, not only the influence of noise during the image process is considered, but also the shortcoming of low precision in the constant velocity model is overcomed. The derivation of acceleration is considered as white noise. The predictive curve plotted with Matlab proves that the maximum of error of using this method is about 3′. So its precision is higher and error standard deviation is lower than those of the constant velocity model.
Starting Page	69
Ending Page	72
Page Count	4
File Format	PDF
ISSN	16731905
Journal	Optoelectronics Letters
Volume Number	3
Issue Number	1
Language	English
Publisher	Tianjin University of Technology
Publisher Date	2007-01-01
Publisher Place	Tianjin
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Applied Optics, Optoelectronics, Optical Devices
Content Type	Text
Resource Type	Article
Subject	Atomic and Molecular Physics, and Optics Condensed Matter Physics Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering

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Application of extended Kalman filtering on aircraft pose prediction of image sequences