Title
Multi-sensor fusion methodology for enhanced land vehicle positioning.
Abstract
•A novel EITF algorithm is proposed to de-noise the MEMS IMU.•A novel interval thresholding scheme is designed to improve the filtering performance.•A LSSVM-NARX/KF hybrid strategy is proposed to compensate the INS position errors.
Year
DOI
Venue
2019
10.1016/j.inffus.2018.04.006
Information Fusion
Keywords
Field
DocType
Vehicle positioning,Empirical mode decomposition,NARX,INS/GPS,MEMS
Nonlinear autoregressive exogenous model,Compass,Pattern recognition,Support vector machine,Data pre-processing,Sensor fusion,Real-time computing,Kalman filter,Inertial measurement unit,Global Positioning System,Artificial intelligence,Mathematics
Journal
Volume
ISSN
Citations 
46
1566-2535
2
PageRank 
References 
Authors
0.34
23
5
Name
Order
Citations
PageRank
Xu Li1175.42
Wei Chen210610.87
Ching-Yao Chan37923.48
Bin Li46815.59
Xianghui Song531.70