DocumentCode :
2689342
Title :
An efficient solution to 6DOF localization using Unscented Kalman Filter for planetary rovers
Author :
Sakai, Atsushi ; Tamura, Yuya ; Kuroda, Yoji
Author_Institution :
Dept. of Mech. Eng., Meiji Univ., Kanagawa, Japan
fYear :
2009
fDate :
10-15 Oct. 2009
Firstpage :
4154
Lastpage :
4159
Abstract :
In this paper, we propose an efficient solution to 6 degrees of freedom (6DOF) localization using unscented Kalman filter for planetary rovers. The solution is a technique augmented the unscented Kalman filter for accurate 6DOF localization, named augmented unscented Kalman filter (AUKF). The AUKF is designed to deal with problems which occur on other planets: wheel slip, visual odometry error, and gyro drift. To solve the problems, the AUKF estimates the slippage ratio in an augmented state vector, the accuracy of the visual odometry with the number of inliers among feature points, and sensor usefulness with gyrodometry model. Experimental results of rover runs over rough terrain are presented, the effectiveness of the AUKF and its each component is shown.
Keywords :
Kalman filters; mobile robots; path planning; planetary rovers; 6DOF localization; augmented unscented Kalman filter; gyro drift; gyrodometry model; planetary rovers; visual odometry error; wheel slip; Aerospace testing; Cameras; Jacobian matrices; Navigation; Particle filters; Planets; Rough surfaces; State estimation; Wheels; Working environment noise; 6DOF localization; Unscented Kalman filter; planetary rover; slippage ratio estimation; visual odometry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-3803-7
Electronic_ISBN :
978-1-4244-3804-4
Type :
conf
DOI :
10.1109/IROS.2009.5354677
Filename :
5354677
Link To Document :
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