In this paper we present the use of /sup RT/MAPS in multi-sensor data fusion for land vehicle localization. The GPS, INS and odometers data time synchronisation and data logging and processing are performed in real time using our software /sup RT/MAPS. The fusion algorithm based on Kalman filtering integrates information coming from a single GPS receiver with inertial navigation system and wheel speed encoders. The filter is used to enhance positioning accuracy, especially during periods of losses of GPS signal and to achieve submeter accuracy for the positioning of a land vehicle. The results prove that /sup RT/MAPS is a good framework for prototyping multi-sensor automotive application. The integration results show that this system can be used as an autonomous localisation system for more than 10 minutes of GPS data outage.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multi-sensor data fusion for land vehicle localization using /sup RT/MAPS


    Contributors:


    Publication date :

    2003-01-01


    Size :

    397163 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Multi-Sensor Fusion Localization

    Zhang, Xinyu / Li, Jun / Li, Zhiwei et al. | Springer Verlag | 2023


    Multi-sensor Fusion Method Using Bayesian Network for Precise Multi-vehicle Localization

    Smaili, Cherif / El Najjar, Maan E. / Francois, | IEEE | 2008



    VEHICLE LOCALIZATION VIA SENSOR FUSION USING EVIDENCE THEORY

    Zribi, M. / Touil, K. / Benjelloun, M. | British Library Online Contents | 2009


    Vehicle-mounted multi-sensor fusion data transmission system

    YANG LIANG / XU MIN / YANG ZENG et al. | European Patent Office | 2024

    Free access