Train locator using inertial sensors and odometer

Abstract

The paper describes a solution to railway vehicle localization problem for the cases, where no global positioning information (like GPS) is temporarily unavailable. The given solution also assumes no additional landmarks or other extraordinary installations aside the train track. The presented approach is based on smart fusion of onboard-gathered data making use of Kalman filter. The available data sources include a vehicle odometer and accelerometer.