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

作　　者：YANG Li-mei GUO Li-hong 

机构地区：[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

出　　处：《Optoelectronics Letters》2007年第1期69-72,共4页光电子快报（英文版）

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

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.

关 键 词：图象序列 飞行器 姿态预测 扩展卡尔曼滤波 应用 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]