7. January 2020
up to German TVöD 5
Full-time (part-time possible)
The goal of the thesis is to develop optimal Bayesian estimators for mapping railway tracks with global navigation satellite system (GNSS) and magnetometer measurements. The magnetometer measures the earth magnetic field that is distorted by railway infrastructure. These distortions are characteristic for a certain position on the track and persistent in time. Multiple runs on the same track therefore allow distinguish different positions based on magnetic field measurements. In combination with GNSS measurements it is possible to create an accurate map containing the geometric track information and the magnetic field.
In this thesis optimal estimators and smoothers for the track map shall be developed and evaluated. While developing the estimators, different representations of the magnetic field and the track geometry shall be considered. The developed estimators shall be evaluated with simulations and measurement data recorded with different train types.
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