Design and Implementation of Vehicle Self-Navigation System in Urban Intelligent Traffic

Hong Zhu

doi:10.4028/www.scientific.net/AMM.241-244.2107

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 241-244Design and Implementation of Vehicle...

Design and Implementation of Vehicle Self-Navigation System in Urban Intelligent Traffic

Abstract:

Compared with the single sensor measuring, the complementary measuring with the dual sensor can solve some key problems in the vehicle self-navigation system. Two sensors’ data must be fused by the federal state estimator. Based on the Singer model, the system equation of Dead Reckoning sensor is nonlinear and the system equation of Global Positioning System sensor is linear. A two-level estimator is designed and implemented in such a way that two local estimators process the linear and nonlinear systems respectively, and the main estimator fuses the data from two local estimators, so that the optimal global state variables can be estimated. The simulation results show that the two-level estimator of dual sensor can increase the vehicle’s self-navigation precision and can be applied in urban intelligent traffic.

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Periodical:

Applied Mechanics and Materials (Volumes 241-244)

Pages:

2107-2110

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.241-244.2107

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Online since:

December 2012

Authors:

Hong Zhu

Keywords:

Design and Implementation, Distributed Computing, Two-Level Estimator, Urban Intelligent Traffic, Vehicle Self-Navigation

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