利用交叉熵方法从节点到节点的距离信息进行三维节点定位

2015 IEEE Virtual Reality (VR) Pub Date : 2015-03-23 DOI:10.1109/VR.2015.7223416

Shohei Ukawa, Tatsuya Shinada, M. Hashimoto, Yuichi Itoh, T. Onoye

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引用次数: 3

摘要

提出了一种基于交叉熵的三维建模系统节点定位方法。提出的定位方法通过迭代的样本生成和评估，克服测量误差，统计估计出最可能的位置。对生成的样本进行并行评估，从而获得显著的加速。我们还证明了并行执行的迭代样本生成和评估与交互式节点移动高度兼容。

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3D node localization from node-to-node distance information using cross-entropy method

This paper proposes a 3D node localization method that uses cross-entropy method for the 3D modeling system. The proposed localization method statistically estimates the most probable positions overcoming measurement errors through iterative sample generation and evaluation. The generated samples are evaluated in parallel, and then a significant speedup can be obtained. We also demonstrate that the iterative sample generation and evaluation performed in parallel are highly compatible with interactive node movement.

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2015 IEEE Virtual Reality (VR)

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