Building a Local Hybrid Map from Sensor Data Fusion

• Autores: Zoe Falomir Llansola , Juan Carlos Peris, María Teresa Escrig Monferrer
• Localización: Artificial intelligence research and development / coord. por Beatriz López, Joaquim Meléndez Frigola , Petia Radeva Ivanova , Jordi Vitrià Marca , 2005, ISBN 978-1-58603-663-8, págs. 203-210
• Idioma: inglés
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• Resumen

  • A local hybrid (qualitative + quantitative) map is developed in this paper. The concave and convex corners of the environment and a distance perception pattern, provided by a fuzzy-qualitative sensor fusion process, are included in the map. This map is the base for solving the robot localization, path planning and navigation problem by using qualitative reasoning models. According to the model described in this paper, the size of the representation of the world is given only by the complexity of the environment.

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