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Track and turnout detection in video-signals using probabilistic spline curves

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1 Author(s)
Ralph Ross ; Karlsruhe Institute of Technology (KIT), Department of Measurement and Control, Engler-Bunte-Ring 21, D-76131, Germany

Track selective localization for rail vehicles is a task that is not yet solved completely as far as autonomous localization methods are concerned. Satellite-based navigation can not fulfill all demands as the signal might not always be available. The localization information might be corrupted as well. So, a fusion with other sensors can be useful to enhance availability. In this paper a monofocal camera based turnout detection is described. It can be used for localization when used together with a digital map. The tracks are represented by spline curves that are adjusted in every frame by a recursive estimation algorithm. The efficiency of the algorithm is shown through experimental results.

Published in:

2012 15th International IEEE Conference on Intelligent Transportation Systems

Date of Conference:

16-19 Sept. 2012