Abstract
The paper is devoted to the description of two approaches for recognizing railway roadbed profiles, obtained with the help of laser scanning. The first approach is based on the identification of similar parts of comparing profiles, presented by their polygonal representations. The second approach uses weighted functional metrics, where it is possible to process incomplete data and then to make a choice on the set of preferences.
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Bronevich, A.G., Lepskiy, A.E., Umansky, V.I., Yakushev, D.A. (2013). Recognition of Cross Profiles of Roadbed Based on Polygonal Representations. In: Maji, P., Ghosh, A., Murty, M.N., Ghosh, K., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2013. Lecture Notes in Computer Science, vol 8251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45062-4_37
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DOI: https://doi.org/10.1007/978-3-642-45062-4_37
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