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