# Generating Compact Geometric Track-Maps for Train Positioning Applications

## TL;DR

This paper introduces a novel optimization-based method for generating compact geometric track-maps to improve train positioning accuracy, addressing a gap in existing map generation techniques.

## Contribution

It proposes a new map generation procedure that optimizes track geometries using measurement data, initialized with a localization filter, and validated on simulated and real data.

## Key findings

- Effective map generation on simulated data
- Successful application on real measurements
- Improved train positioning accuracy

## Abstract

In this paper, we present a method to generate compact geometric track-maps for train-borne localization applications. Therefore, we first give a brief overview on the purpose of track maps in train-positioning applications. It becomes apparent that there are hardly any adequate methods to generate suitable geometric track-maps. This is why we present a novel map generation procedure. It uses an optimization formulation to find the continuous sequence of track geometries that fits the available measurement data best. The optimization is initialized with the results from a localization filter developed in our previous work. The localization filter also provides the required information for shape identification and measurement association. The presented approach will be evaluated on simulated data as well as on real measurements.