@article{ref1,
title="Track detection in railway sidings based on MEMS gyroscope sensors",
journal="Sensors (Basel)",
year="2012",
author="Broquetas, Antoni and Comerón, Adolf and Gelonch, Antoni and Fuertes, Josep M. and Castro, J. Antonio and Felip, Damià and López, Miguel A. and Pulido, José A.",
volume="12",
number="12",
pages="16228-16249",
abstract="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.<p /> <p>Language: en</p>",
language="en",
issn="1424-8220",
doi="10.3390/s121216228",
url="http://dx.doi.org/10.3390/s121216228"
}