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Research on Localization Vehicle Based on Multiple Sensors Fusion System Cover

Research on Localization Vehicle Based on Multiple Sensors Fusion System

By: Xiaogang Zhu,  Wei Tian,  GuiZhong Li and  Jun Yu  
Open Access
|Apr 2018

Abstract

In the implementation and verification of multi sensor fusion of vehicle positioning, we built a verification platform positioning algorithm combined simulation of Car Sim-Simulink to Car Sim, the vehicle model and the sensor output as the data source, and the noise, then in the simulink environment to build the fusion localization algorithm, and the real vehicle experiment using inertial laboratory navigation equipment, to the actual sensor data validation algorithm. Simulation and experimental verification results show that the effectiveness of the fusion location algorithm, the GPS is invalid; the error is effectively reduced to rely solely on dead reckoning positioning inertial navigation system, to achieve effective positioning all the time.

Language: English
Page range: 186 - 189
Published on: Apr 23, 2018
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2018 Xiaogang Zhu, Wei Tian, GuiZhong Li, Jun Yu, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution 4.0 License.