Cart (Loading....) | Create Account
Close category search window
 

Multi-sensor information fusion and strong tracking filter for vehicle nonlinear state estimation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Shu-en Zhao ; Coll. of Mech. Eng., Shaanxi Univ. of Technol., Xi''an, China ; Yuling Li

According to the problem that some key state parameters in vehicle stability control process are too difficult to directly measure, combining the strong tracking filtering theory with data fusion estimation technology, and by a 4-DOF nonlinear vehicle dynamics model, the algorithm of multi-sensor linear combination state optimization estimation based on strong tracking filter is proposed. For the multi-sensor and signals model nonlinear dynamic systems having the same sample rates for each sensor, the fusion estimate on the basis of global information by use of strong tracking filter is established, and the effectiveness of the new algorithm is also illustrated by use of an example. The result show that the states of vehicle stability control system can be estimated accurately and low costs with this algorithm.

Published in:

Intelligent Vehicles Symposium, 2009 IEEE

Date of Conference:

3-5 June 2009

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.