Title :
Online-estimation of Image Jacobian based on adaptive Kalman filter
Author :
Qing, Liu Song ; Yue, Liu Shi
Author_Institution :
Beijing Institute of Technology, Beijing 100190
Abstract :
Focus on the uncalibrated visual servo, we established a filtering system based on Kalman Filter, and validated it by Matlab. Then we discussed the stability precondition of the control system with Kalman Filter in detail, and made a conclusion that if and only if the origin system is completely controllable and observable, the filtering system can converged to the expected position. Refer to the problem that we can´t get the statistical information of the real system, we designed an adaptive Kalman filter and applied it in a real-time track task, and with the track error is within 5 pixel.
Keywords :
Covariance matrices; Estimation; Jacobian matrices; Kalman filters; Noise; Servomotors; Visualization; Adaptive Kalman Filter; Image Jacobian Matrices; Kalman Filter;
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
DOI :
10.1109/ChiCC.2015.7260581