Referenced Items are not available for this document.
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:
Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference on
Date of Conference: 16-19 Sept. 2012
- Page(s):
- 294 - 299
- ISSN :
- 2153-0009
- E-ISBN :
- 978-1-4673-3062-6
- Print ISBN:
- 978-1-4673-3064-0
- INSPEC Accession Number:
- 13115138
- Conference Location :
- Anchorage, AK
- Digital Object Identifier :
- 10.1109/ITSC.2012.6338605
- Product Type:
- Conference Publications
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