A Hybrid Intelligent Multisensor Positioning Methodology for Reliable Vehicle Navigation
Joint Authors
Li, Xu
Xu, Qimin
Chan, Chingyao
Li, Bin
Chen, Wei
Song, Xianghui
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-15
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
With the rapid development of intelligent transportation systems worldwide, it becomes more important to realize accurate and reliable vehicle positioning in various environments whether GPS is available or not.
This paper proposes a hybrid intelligent multisensor positioning methodology fusing the information from low-cost sensors including GPS, MEMS-based strapdown inertial navigation system (SINS) and electronic compass, and velocity constraint, which can achieve a significant performance improvement over the integration scheme only including GPS and MEMS-based SINS.
First, the filter model of SINS aided by multiple sensors is presented in detail and then an improved Kalman filter with sequential measurement-update processing is developed to realize the filtering fusion.
Further, a least square support vector machine- (LS SVM-) based intelligent module is designed and augmented with the improved KF to constitute the hybrid positioning system.
In case of GPS outages, the LS SVM-based intelligent module trained recently is used to predict the position error to achieve more accurate positioning performance.
Finally, the proposed hybrid positioning method is evaluated and compared with traditional methods through real field test data.
The experimental results validate the feasibility and effectiveness of the proposed method.
American Psychological Association (APA)
Li, Xu& Xu, Qimin& Chan, Chingyao& Li, Bin& Chen, Wei& Song, Xianghui. 2015. A Hybrid Intelligent Multisensor Positioning Methodology for Reliable Vehicle Navigation. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1073124
Modern Language Association (MLA)
Li, Xu…[et al.]. A Hybrid Intelligent Multisensor Positioning Methodology for Reliable Vehicle Navigation. Mathematical Problems in Engineering No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1073124
American Medical Association (AMA)
Li, Xu& Xu, Qimin& Chan, Chingyao& Li, Bin& Chen, Wei& Song, Xianghui. A Hybrid Intelligent Multisensor Positioning Methodology for Reliable Vehicle Navigation. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1073124
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073124