Detecting Track Events with a Laser Scanner for using within a Modified Multi-Hypothesis Based Map-Matching Algorithm for Train Positioning

Abstract

This paper analyses the potential of a conventional laser measurement system (LMS) for a multihypothesis based map-matching (MHMM) algorithm. In this context, the LMS is used as a ”track event sensor”, which is able to observe certain features of railway infrastructure landmarks along the track, such as bridges, tunnels, levelcrossings or switches. Herein, the observation of a trackreferenced infrastructure landmark by a sensor is defined as a track event. By comparing these track event observations especially of switches and level crossings with their corresponding objects in a digital map database, the mapmatching process is enhanced providing certain points for evaluating and re-calibrating the topological position hypothesis of the vehicle within the railway network.