DocumentCode :
1855954
Title :
Basic localization alogrithm using cubature Kalman filter based on encoder and laser
Author :
Pengfei Li ; Jingxiong Huang ; Mingjie Wan ; Shijun Wang ; Yi Wang
Author_Institution :
Air Defense Forces Acad., Zhengzhou, China
Volume :
3
fYear :
2012
fDate :
21-25 Oct. 2012
Firstpage :
2300
Lastpage :
2303
Abstract :
This paper presents a basic localization algorithm for the outdoor navigation system. The algorithm uses cubature Kalman filter based on standard dead reckoning sensors and laser range and bearing information. The cubature Kalman filter is used to track the vehicle based on three key models, the vehicle model, the beacon model and the sensor model. The simulation results show that the localization algorithm using cubature Kalman filter performs much better than using the extended Kalman filter.
Keywords :
Global Positioning System; Kalman filters; codecs; encoding; laser ranging; optical sensors; path planning; sensor placement; GPS; Kalman Filter autonomous vehicle system; basic localization algorithm; beacon model; bearing information; cubature Kalman filter; dead reckoning sensors; encoder; laser range; outdoor navigation system; robots; sensor model; vehicle model; Autonomous Navigation; Cubature Kalman Filter; Simultaneous Localization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location :
Beijing
ISSN :
2164-5221
Print_ISBN :
978-1-4673-2196-9
Type :
conf
DOI :
10.1109/ICoSP.2012.6492040
Filename :
6492040
Link To Document :
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