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

作     者：YANG Li-mei GUO Li-hong 

作者机构：Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Changchun 130033 China Graduate School of the Chinese Academy of Sciences Beijing 100039 

出 版 物：《Optoelectronics Letters》 (光电子快报（英文版）)

年 卷 期：2007年第3卷第1期

页      面：69-72页

学科分类：0810[工学-信息与通信工程] 08[工学] 081002[工学-信号与信息处理] 

基　　金：Innovation item of Chinese Academy of Science(Grant No. C04708Z) 

主　　题：图象序列 飞行器 姿态预测 扩展卡尔曼滤波 应用 

摘      要：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.