A Data-Fusion Approach for Speed Estimation and Location Calibration of a Metro Train Based on Low-Cost Sensors in Smartphones

Since the GPS is unavailable in underground environment, it is extremely challenging to measure the speed and location of a metro train. This paper proposes a novel data-fusion approach for speed estimation and location calibration of a metro train in underground environment, simply using the data f...

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