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Conference Papers Year : 2006

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

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.

Domains

Other [cs.OH]
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Dates and versions

inria-00182008 , version 1 (07-11-2007)

Identifiers

  • HAL Id : inria-00182008 , version 1

Cite

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. ⟨inria-00182008⟩
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