A Neuro-Fuzzy System for Extracting Environment Features Based on Ultrasonic SensorsReport as inadecuate




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Departamento de Ingeniería de Sistemas y Automática, Arquitectura y Tecnología de Computadoras, Universidad de La Laguna, La Laguna, Tenerife 38071, Spain





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Abstract In this paper, a method to extract features of the environment based on ultrasonic sensors is presented. A 3D model of a set of sonar systems and a workplace has been developed. The target of this approach is to extract in a short time, while the vehicle is moving, features of the environment. Particularly, the approach shown in this paper has been focused on determining walls and corners, which are very common environment features. In order to prove the viability of the devised approach, a 3D simulated environment has been built. A Neuro-Fuzzy strategy has been used in order to extract environment features from this simulated model. Several trials have been carried out, obtaining satisfactory results in this context. After that, some experimental tests have been conducted using a real vehicle with a set of sonar systems. The obtained results reveal the satisfactory generalization properties of the approach in this case. View Full-Text

Keywords: neural networks; fuzzy systems; neuro-fuzzy; ultrasonic sensing; autonomous robots neural networks; fuzzy systems; neuro-fuzzy; ultrasonic sensing; autonomous robots





Author: Graciliano Nicolás Marichal * , Angela Hernández, Leopoldo Acosta and Evelio José González

Source: http://mdpi.com/



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