Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/30112
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Título : 3D mapping for urban service robots
Autor : Valencia, Rafael, Teniente, Ernesto H., Trulls, Eduard, Andrade-Cetto, J.
Palabras clave : Automation: Robots
Robotics
Robots
Fecha de publicación : 2009
Resumen: We present an approach to the problem of 3D map building in urban settings for service robots, using three-dimensional laser range scans as the main data input. Our system is based on the probabilistic alignment of 3D point clouds employing a delayed-state information-form SLAM algorithm, for which we can add observations of relative robot displacements efficiently. These observations come from the alignment of dense range data point clouds computed with a variant of the iterative closest point algorithm. The datasets were acquired with our custom built 3D range scanner integrated into a mobile robot platform. Our mapping results are compared to a GIS-based CAD model of the experimental site. The results show that our approach to 3D mapping performs with sufficient accuracy to derive traversability maps that allow our service robots navigate and accomplish their assigned tasks on a urban pedestrian area.
Descripción : Trabajo presentado al IROS 2009 celebrado en Saint Louis (EE. UU.) del 10 al 15 de octubre.
Versión del editor: http://dx.doi.org/10.1109/IROS.2009.5354277
URI : http://hdl.handle.net/10261/30112
ISBN : 978-1-4244-3803-7
DOI: 10.1109/IROS.2009.5354277
Citación : IEEE/RSJ International Conference on Intelligent Robots and Systems: 3076-3081 (2009)
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