The Recognition of Roadbed Based on Fuzzy Etalons
Andrey G. Bronevich, Bladimir I. Umanskiy, Dmitriy A. Yakushev
Andrey G. Bronevich
Available Online June 2015.
- 10.2991/ifsa-eusflat-15.2015.167How to use a DOI?
- Laser Scanning, Roadbed Classification, Polygonal Representations, Fuzzy Descriptions of Etalons.
In the paper we solve the problem of recognizing the roadbed using information about its possible typical designs. As shown on the paper typical designs can be adequately described by the set of fuzzy features, derived from the polygonal representation of the roadbed cross profile. The recognition is based on the minimization of a functional that takes into account how the polygon representation fits to the geometrical form of a measured profile and how its features obey the fuzzy restrictions. We propose to minimize this functional using probabilistic genetic algorithm. In the paper we also discuss the obtained results of the conducted experiments.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Andrey G. Bronevich AU - Bladimir I. Umanskiy AU - Dmitriy A. Yakushev PY - 2015/06 DA - 2015/06 TI - The Recognition of Roadbed Based on Fuzzy Etalons BT - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology PB - Atlantis Press SP - 1184 EP - 1188 SN - 1951-6851 UR - https://doi.org/10.2991/ifsa-eusflat-15.2015.167 DO - 10.2991/ifsa-eusflat-15.2015.167 ID - Bronevich2015/06 ER -