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Track Detection in Railway Sidings Based on MEMS Gyroscope Sensors

By Miguel A. López, Damià Felip, J. Antonio Castro, Josep M. Fuertes, Antoni Gelonch, Adolf Comerón, Antoni Broquetas and José A. Pulido


The paper presents a two-step technique for real-time track detection in single-track railway sidings using low-cost MEMS gyroscopes. The objective is to reliably know the path the train has taken in a switch, diverted or main road, immediately after the train head leaves the switch. The signal delivered by the gyroscope is first processed by an adaptive low-pass filter that rejects noise and converts the temporal turn rate data in degree/second units into spatial turn rate data in degree/meter. The conversion is based on the travelled distance taken from odometer data. The filter is implemented to achieve a speed-dependent cut-off frequency to maximize the signal-to-noise ratio. Although direct comparison of the filtered turn rate signal with a predetermined threshold is possible, the paper shows that better detection performance can be achieved by processing the turn rate signal with a filter matched to the rail switch curvature parameters. Implementation aspects of the track detector have been optimized for real-time operation. The detector has been tested with both simulated data and real data acquired in railway campaigns

Topics: track detection, MEMS gyroscope, adaptive matched filtering, railway navigation, Chemical technology, TP1-1185
Publisher: MDPI AG
Year: 2012
DOI identifier: 10.3390/s121216228
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