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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Podrobná bibliografie
Vydáno v:	Proceedings of the IEEE Virtual Reality Annual International Symposium s. 303 - 304
Hlavní autoři:	Ukawa, Shohei, Shinada, Tatsuya, Hashimoto, Masanori, Itoh, Yuichi, Onoye, Takao
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 01.03.2015
Témata:	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
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Popis
Shrnutí:	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