Aproximación Neuro-Fuzzy para Identificación de Señales Viales Mediante Tecnología Infrarroja
[EN] In this paper, a system incorporated to a vehicle in order to detect and classify horizontal traffic signs is presented. This prototype is based on infrared technology and a classification tool based on a Neuro-Fuzzy system. Different additional processes are applied in order to improve the res...
| Autores: | , , , |
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| Tipo de documento: | artigo |
| Data de publicação: | 2009 |
| País: | España |
| Recursos: | Universitat Politècnica de València (UPV) |
| Repositório: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | espanhol |
| OAI Identifier: | oai:riunet.upv.es:10251/146134 |
| Acesso em linha: | https://riunet.upv.es/handle/10251/146134 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Robotics Robot Navigation Neuro-Fuzzy systems Control Inteligente Robótica Navegación de robots Sistemas Neuro-Fuzzy |
| Resumo: | [EN] In this paper, a system incorporated to a vehicle in order to detect and classify horizontal traffic signs is presented. This prototype is based on infrared technology and a classification tool based on a Neuro-Fuzzy system. Different additional processes are applied in order to improve the resultant Fuzzy system. Several trials have been done, using experimental data provided by the prototype. The obtained results are explained adequately, making especial emphasis on the design of new rules and the improvement in the rules obtained automatically by the proposed methods. Satisfactory results in the experiments have been achieved. |
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