DocumentCode :
2638744
Title :
Initial state observer design for self-localization of mobile robots
Author :
Higuchi, Muneaki ; Nakamura, Hisakazu ; Nishitani, Hirokazu
Author_Institution :
Nara Inst. of Sci. & Technol., Nara
fYear :
2007
fDate :
17-20 Sept. 2007
Firstpage :
1039
Lastpage :
1042
Abstract :
In this paper, we introduce a sensor fusion method for position locations of mobile robots using an initial state observer and propose a gain calculation method. We confirm the effectiveness of the proposed method by experiments. Experimental results illustrate the initial state observer based sensor fusion method with proposed gain calculation method has almost the same performance as EKF. Moreover, the proposed method imposes much smaller computational cost than EKF. Finally, our proposed method is confirmed as a robust estimation method for time variation.
Keywords :
Kalman filters; estimation theory; mobile robots; nonlinear filters; observers; position control; robust control; sensor fusion; extended Kalman filter; gain calculation; mobile robot; position location; robust estimation; self-localization; sensor fusion; state observer design; time variation; Computational efficiency; Design methodology; Information science; Mobile robots; Observers; Performance gain; Robot control; Robustness; Sensor fusion; State estimation; Mobile Robot; Self Localization; Sensor Fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE, 2007 Annual Conference
Conference_Location :
Takamatsu
Print_ISBN :
978-4-907764-27-2
Electronic_ISBN :
978-4-907764-27-2
Type :
conf
DOI :
10.1109/SICE.2007.4421137
Filename :
4421137
Link To Document :
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