Efficient GPU-based Construction of Occupancy Grids Using several Laser Range-finders

Manuel Yguel 1 Olivier Aycard 1 Christian Laugier 1
1 E-MOTION - Geometry and Probability for Motion and Action
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes
Abstract : Building occupancy grids (OGs) in order to model the surrounding environment of a vehicle implies to fusion occupancy information provided by the different embedded sensors in the same grid. The principal difficulty comes from the fact that each can have a different resolution, but also that the resolution of some sensors varies with the location in the field of view. In this article we present a new exact approach to this issue and we explain why the problem of switching coordinate systems is an instance of the texture mapping problem in computer graphics. Therefore we introduce a calculus architecture to build occupancy grids with a graphical processor unit (GPU). Thus we present computational time results that can allow to compute occupancy grids for 50 sensors at frame rate even for a very fine grid. To validate our method, the results with GPU are compared to results obtained through the exact approach.
Type de document :
Communication dans un congrès
Proc. of the IEEE-RSJ Int. Conf. on Intelligent Robots and Systems, 2006, Beijing (CN), China. 2006
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https://hal.inria.fr/inria-00182008
Contributeur : Christian Laugier <>
Soumis le : mercredi 7 novembre 2007 - 15:10:08
Dernière modification le : mercredi 11 avril 2018 - 01:53:51
Document(s) archivé(s) le : lundi 24 septembre 2012 - 14:35:15

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  • HAL Id : inria-00182008, version 1

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Manuel Yguel, Olivier Aycard, Christian Laugier. Efficient GPU-based Construction of Occupancy Grids Using several Laser Range-finders. Proc. of the IEEE-RSJ Int. Conf. on Intelligent Robots and Systems, 2006, Beijing (CN), China. 2006. 〈inria-00182008〉

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