Descripción
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Recently, a novel solution to the Simultaneous Localization and Map building (SLAM) problem for complex indoor environments was presented, using a set of splines for describing the geometries detected by a laser range finder mounted on a mobile platform. In this paper, a method for exploiting the geometric information underlying in these maps in the data association process is described. The proposed approach uses graphs of relations between simple features extracted from the environment, and a bit encoded implementation for obtaining a maximum clique that relates observations with previously visited areas. This information is used to update the relative positions of a collage of submaps of limited size. | |
Internacional
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Si |
Nombre congreso
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International Conference on Intelligent Robots and Systems, 2008. IROS 2008 |
Tipo de participación
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960 |
Lugar del congreso
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Niza, Francia |
Revisores
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Si |
ISBN o ISSN
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978-1-4244-2057-5 |
DOI
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10.1109/IROS.2008.4650976 |
Fecha inicio congreso
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22/09/2008 |
Fecha fin congreso
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26/09/2008 |
Desde la página
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1600 |
Hasta la página
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1605 |
Título de las actas
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Proceedings International Conference on Intelligent Robots and Systems, IROS'08 |