Título: Localization through omnivision for a tour-guide robot
Autores: Gamallo Solórzano, Cristina
Quintía Vidal, Pablo
Vázquez Regueiro, Carlos
Mucientes Molina, Manuel
Fecha: 2009-11-23
2009-11-23
2009-01
Publicador: RUA Docencia
Fuente:
Tipo: info:eu-repo/semantics/article
Tema: Global localization
Omnivision
Tour-guide robot
Kidnapping problem
Ciencia de la Computación e Inteligencia Artificial
Descripción: The localization of a mobile robot in a real environment is a complex task. In this paper, an algorithm that solves the global localization is presented. The proposal is based on a merit function that ranks different possible poses obtained from the acquired image, together with an iterative process for the minimization of that function using a particle filter. Landmark detection has been done with an omnidirectional camera pointing to the ceiling, combined with an infrared passband filter which extracts the lights. Several real experiments, both for global localization and the kidnapped robot problem, have been done in a museum. Results show a high accuracy, robustness, and real-time execution in this complex and crowded environment.
This work has been partially supported by the Galician Regional Government and the Spanish Government through grants PGIDIT- TIC206011PR, TIN2005-03844, INCITE08PXIB262202PR and TIN2008-04008/TSI.
Idioma: Inglés

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