<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

Research on Localization Vehicle Based on Multiple Sensors Fusion System

Institute of science and technology of Changchun

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Research on Localization Vehicle Based on Multiple Sensors Fusion System"}

In the implementation and verification of multi sensor fusion of vehicle positioning, we built a verification platform positioning algorithm combined...

Research on Localization Vehicle Based on Multiple Sensors Fusion System

Online veröffentlicht: 23. Apr. 2018

Seitenbereich: 186 - 189

DOI: https://doi.org/10.21307/iccnea.2017.75

Schlüsselwörter
Multiple sensors, Vehicle positioning, Style, Autonomous vehicle, Fusion System

© 2017 Xiaogang Zhu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on Localization Vehicle Based on Multiple Sensors Fusion System

Online veröffentlicht: 23. Apr. 2018

Seitenbereich: 186 - 189

DOI: https://doi.org/10.21307/iccnea.2017.75

SchlüsselwörterMultiple sensors, Vehicle positioning, Style, Autonomous vehicle, Fusion System

© 2017 Xiaogang Zhu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Multiple sensors, Vehicle positioning, Style, Autonomous vehicle, Fusion System