.Application of extended Kalman filtering on aircraft pose prediction of image sequences[J].Optoelectronics Letters,2007,3(1):69-72 Application of extended Kalman filtering on aircraft pose prediction of image sequences YANG Li-mei GUO Li-hong [1]Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China [2]Graduate School of the Chinese Academy of Sciences, Beijing 100039 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-γstable 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. Hits: 3611 Download times: 215 View Full Text    Download reader