@inproceedings{5a536ea307c94e1e9061ddb1fff4fc4b,
title = "Online-estimation of Image Jacobian based on adaptive Kalman filter",
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 = "Adaptive Kalman Filter, Image Jacobian Matrices, Kalman Filter",
author = "Songqing Liu and Shiyue Liu",
note = "Publisher Copyright: {\textcopyright} 2015 Technical Committee on Control Theory, Chinese Association of Automation.; 34th Chinese Control Conference, CCC 2015 ; Conference date: 28-07-2015 Through 30-07-2015",
year = "2015",
month = sep,
day = "11",
doi = "10.1109/ChiCC.2015.7260581",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "6016--6019",
editor = "Qianchuan Zhao and Shirong Liu",
booktitle = "Proceedings of the 34th Chinese Control Conference, CCC 2015",
address = "United States",
}