DocumentCode
523821
Title
Estimation of Vehicle Turning Radius Based on Federal Kalman Filter
Author
Wang, Xianbin ; Shi, Shuming
Author_Institution
Traffic Coll., North East Forestry Univ., Harbin, China
Volume
2
fYear
2010
fDate
11-12 May 2010
Firstpage
224
Lastpage
227
Abstract
This paper presents a new method for identifying turning radius using a Federal Kalman Filter and a vehicle dynamic model. A dynamic model, which includes vehicle radius, is first introduced. The Federal Kalman Filter is then implemented using the measurements of GPS and INS sensors. From the Federal Kalman Filter, the vehicle turning radius can be precisely estimated. Experimental results verify that the estimation scheme is giving appropriate estimates of the vehicle turning radius.
Keywords
Global Positioning System; Kalman filters; inertial navigation; vehicle dynamics; GPS; INS sensors; federal Kalman filter; vehicle dynamic model; vehicle turning radius estimation; Acceleration; Accelerometers; Educational institutions; Electronic mail; Global Positioning System; State estimation; Traffic control; Turning; Vehicle driving; Vehicle dynamics; Federal Kalman Filter; estimation; turning radius;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-7279-6
Electronic_ISBN
978-1-4244-7280-2
Type
conf
DOI
10.1109/ICICTA.2010.585
Filename
5523172
Link To Document