NDLI: GPS/DR information fusion for AGV navigation

Content Provider	IEEE Xplore Digital Library
Author	Wang Hongyu Zhang Xiaoxia Li Xiaolin Han Liuzhu Zhang Jincheng
Copyright Year	2012
Description	Author affiliation: Department of Traffic and Mechanical Engineering, Shenyang Jianzhu University, China (Zhang Xiaoxia; Li Xiaolin; Han Liuzhu; Zhang Jincheng) \|\| Shenyang Siasun Robot & Automation Co Ltd, China (Wang Hongyu)
Abstract	In this paper, a study on AGV navigation system which is based on GPS/DR information fusion, in order to make AGV realize outdoor navigation with high-precision and low cost. In this system, we apply Kalman filtering algorithm on GPS signal and DR signal to make GPS signal and DR signal mutually compensate each other, and play each other advantages, so that we can obtain high-precision positioning data used for AGV navigation. Moreover, we write programs to realize the navigation system for AGV, and apply it for an experiment. At the end of this paper, we show a group of curves for positioning data collected in the experiment and corresponding processing results. Found by comparisons, the positioning accuracy of integrated navigation system than the positioning accuracy of GPS navigation alone increased by 50%.
Starting Page	1
Ending Page	4
File Size	279015
Page Count	4
File Format	PDF
ISBN	9781467344975
ISSN	21544824
e-ISBN	9781889334479
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-24
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	TSI Press
Subject Keyword	Global Positioning System Kalman filters Filtering algorithms Covariance matrix Accuracy Estimation GPS/DR integrated navigation Kalman filtering algorithm information fusion AGV
Content Type	Text
Resource Type	Article

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