DocumentCode
2066341
Title
A data fusion approach for multi-camera based visual servoing
Author
Assa, Akbar ; Janabi-Sharifi, Farrokh ; Moshiri, Behzad ; Mantegh, Iraj
Author_Institution
Dept. of Mech. & Ind. Eng., Ryerson Univ., Toronto, ON, Canada
fYear
2010
fDate
25-27 Oct. 2010
Firstpage
1
Lastpage
7
Abstract
Accurate visual servoing depends extensively on the quality of pose estimation. Sensor fusion provides a solution to improve accuracy and robustness of pose estimation. This paper introduces sensor fusion methods using two cameras to reduce the inaccuracy of pose estimation. Simulation results are reported to verify the efficiency of the proposed methods.
Keywords
Kalman filters; image sensors; pose estimation; sensor fusion; visual servoing; data fusion approach; extended Kalman filter; multicamera based visual servoing; pose estimation; position based servoing; sensor fusion; Cameras; Estimation; Noise; Open wireless architecture; Robot vision systems; Transmission line matrix methods; data fusion; extended Kalman filter; ordered weighted averaging; pose estimation; position-based visual servoing;
fLanguage
English
Publisher
ieee
Conference_Titel
Optomechatronic Technologies (ISOT), 2010 International Symposium on
Conference_Location
Toronto, ON
Print_ISBN
978-1-4244-7684-8
Type
conf
DOI
10.1109/ISOT.2010.5687312
Filename
5687312
Link To Document