title: Track detection in railway sidings based on MEMS gyroscope sensors.
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.
authors: Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, Campus Nord UPC, 08034 Barcelona, Spain. broquetas@tsc.upc.edu
authors: Antoni
authors: A
authors: Broquetas
authors: Adolf
authors: A
authors: Comerón
authors: Antoni
authors: A
authors: Gelonch
authors: Josep M
authors: JM
authors: Fuertes
authors: J Antonio
authors: JA
authors: Castro
authors: Damià
authors: D
authors: Felip
authors: Miguel A
authors: MA
authors: López
authors: José A
authors: JA
authors: Pulido
mesh_terms: D000465:Algorithms; D001336:Automobiles; D006801:Humans; D055617:Micro-Electrical-Mechanical Systems / Q000295:instrumentation*; D011890:Railroads; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio