PERCEPTION
SLAM à la carte - GPGPU for Globally Consistent Scan Matching.
Andreas Nüchter, Seyedshams Feyzabadi, Deyuan Qiu, Stefan May
- Year
- 2011
- Citations
- 10
Abstract
The computational complexity of SLAM is large and constitutes a challenge for real-time processing of a huge amount of sensor data with the limited resources of a mobile robot. Often, notebooks are used to control a mobile system and even these computing devices have nowadays graphics cards which allow general purpose computation using many cores. SLAM a la carte (graphique) exploits these capabilities and carries out 3D scan registrations on the GPU. A speed-up of more than one order of magnitude for precise 3D mapping is reported.
Keywords
Computer scienceGeneral-purpose computing on graphics processing unitsExploitComputationSimultaneous localization and mappingComputer graphics (images)GraphicsMatching (statistics)Computer visionArtificial intelligence
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