Speeding up graph-based SLAM algorithm: A GPU-based heterogeneous architecture study

Abdelhamid Dine, A. Elouardi, B. Vincke, S. Bouaziz
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引用次数: 5

Abstract

In this paper we present a study of using an heterogeneous architecture to implement the graph-based SLAM algorithm. The study aims to investigate the performances of an ARM-GPU based architecture by offloading some critical compute-intensive tasks of the algorithm to the integrated GPU.
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加速基于图的SLAM算法:基于gpu的异构架构研究
在本文中,我们提出了一个使用异构架构来实现基于图的SLAM算法的研究。该研究旨在通过将算法的一些关键计算密集型任务卸载到集成GPU来研究基于ARM-GPU的架构的性能。
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