Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Traffic Sign Recognition Revisited
Mustererkennung 1999, 21. DAGM-Symposium
Classification and Clustering for Knowledge Discovery (Studies in Computational Intelligence)
Classification and Clustering for Knowledge Discovery (Studies in Computational Intelligence)
Detection and classification of vehicles
IEEE Transactions on Intelligent Transportation Systems
Visual sign information extraction and identification by deformable models for intelligent vehicles
IEEE Transactions on Intelligent Transportation Systems
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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.