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 ar...

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Bibliographic Details
Published in:	Proceedings of the IEEE Virtual Reality Annual International Symposium pp. 303 - 304
Main Authors:	Ukawa, Shohei, Shinada, Tatsuya, Hashimoto, Masanori, Itoh, Yuichi, Onoye, Takao
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.03.2015
Subjects:	Computational modeling H.5.2 [Information Interfaces and Presentation]: User Interfaces - Input Devices and Strategies I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling - Physically based modeling Linear programming Measurement errors Parallel processing Shape Three-dimensional displays
ISSN:	1087-8270
Online Access:	Get full text
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Summary:	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.
ISSN:	1087-8270
DOI:	10.1109/VR.2015.7223416