An Infrared and Neuro-Fuzzy-Based Approach for Identification and Classification of Road Markings
A low-cost infrared and Neuro-Fuzzy-based approach for identification and classification of road markings is presented in this paper. The main task of the designed prototype, implemented at the University of La Laguna, is to collect information by a set of infrared sensors and to process it in an intelligent mode. As an example, it should inform the driver about the different signs and elements it is driving on, complementing other well-known and widely used security devices. For the identification and classification stages, a Neuro-Fuzzy approach has been chosen; given it is a good option in order to get fuzzy rules and memberships functions in an automatic way.
KeywordsMembership Function Fuzzy Rule Test Pattern Traffic Sign Infrared Sensor
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- 1.Bertozzi, M., Broggi, A., Cellario, M., Fascioli, A., Lombardi, P., Porta, M.: Artificial Vision in Road Vehicles. In: Proceedings of the IEEE - Special issue on Technology and Tools: Visual Perception (2002)Google Scholar
- 3.Tan, Y.P., Yap, K.H., Wang, L.P. (eds.): Intelligent Multimedia Processing with Soft Computing. Springer, Heidelberg (2004)Google Scholar
- 5.Gavrila, D.M.: Traffic sign recognition revisited. In: Proc. 21st DAGM Symposium fur Musterekennung, pp. 86–93. Springer, Heidelberg (1999)Google Scholar
- 10.Hush, D.R., Horne, B.G.: Progress in supervised Neural Networks. IEEE Signal Processing Magazine, 8–34 (1993)Google Scholar