The motivation of the presented work is to develop a robust navigation system for accurate localization of trains on railway tracks in the cases where the GPS-based navigation is not temporally available. As the final solution of the train locator naturally takes into consideration the satellite-based navigation, the satellite signal needs not to be available all along the railway. The presented contribution describes an approach to preprocessing and fusing of additional train onboard sensors - the odometer and accelerometer, all targeted to serve as optional and temporary substitution for GPS navigation. The suggested solution is exploring a rule-based substitutions and mutual calibrations of the used sensors depending on actual conditions. The given approach relies on the GPS system only to provide position calibrations and serves a reference method for evaluation of the presented results. Suggested solutions have been experimentally tested with real-world data gathered with locomotive onboard inertial sensors.


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    Titel :

    Sensor data fusion for inertial navigation of trains in GPS-dark areas


    Beteiligte:
    Mazl, R. (Autor:in) / Preucil, L. (Autor:in)


    Erscheinungsdatum :

    2003-01-01


    Format / Umfang :

    408371 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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