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International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06)
Visualization for a Multi-Sensor Data Analysis
Sydney, Australia
July 26-July 28
ISBN: 0-7695-2606-3
ASCII Text
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Sang Ok Koo, Hyuk Don Kwon, Chang Geol Yoon, Won Seok Seo, Soon Ki Jung, "Visualization for a Multi-Sensor Data Analysis," Computer Graphics, Imaging and Visualization, International Conference on, pp. 57-63, International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06), 2006.
 
 
BibTex
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@article{ 10.1109/CGIV.2006.93,
author = {Sang Ok Koo and Hyuk Don Kwon and Chang Geol Yoon and Won Seok Seo and Soon Ki Jung},
title = {Visualization for a Multi-Sensor Data Analysis},
journal ={Computer Graphics, Imaging and Visualization, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2606-3},
pages = {57-63},
doi = {http://doi.ieeecomputersociety.org/10.1109/CGIV.2006.93},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Graphics, Imaging and Visualization, International Conference on
TI - Visualization for a Multi-Sensor Data Analysis
SN - 0-7695-2606-3
SP57
EP63
A1 - Sang Ok Koo,
A1 - Hyuk Don Kwon,
A1 - Chang Geol Yoon,
A1 - Won Seok Seo,
A1 - Soon Ki Jung,
PY - 2006
KW - null
VL - 0
JA - Computer Graphics, Imaging and Visualization, International Conference on
ER -
 
Sang Ok Koo, Kyungpook Nat?l University, South Korea
Hyuk Don Kwon, Kyungpook Nat?l University, South Korea
Chang Geol Yoon, Kyungpook Nat?l University, South Korea
Won Seok Seo, Kyungpook Nat?l University, South Korea
Soon Ki Jung, Kyungpook Nat?l University, South Korea
This work describes our efforts in creating the software in order to analyze the multi-sensor data for gas transmission pipeline inspection. The amount of data is usually considerable because the hardware system that consists of multiple heterogeneous sensors records multi-sensor values for long-distance inspection. It imposes a heavy burden on the operators who should sieve the huge and complex data, detect features of the pipeline and decide a feature as a significant defect.

In our system, the virtual 3D pipeline helps the user to examine the inside of pipeline intuitively by navigating according to the realistic pipeline trajectory. We mapped the geographical data of the pipeline and heterogeneous sensor data on the virtual 3D pipeline. Moreover, our system offer the various feature detail views to help the users rapid and precise decision. Users can switch the navigation mode and the feature detail mode easily. Consequently, the virtual pipeline plays a role as an intuitive interaction metaphor for pipeline inspection

Citation:
Sang Ok Koo, Hyuk Don Kwon, Chang Geol Yoon, Won Seok Seo, Soon Ki Jung, "Visualization for a Multi-Sensor Data Analysis," cgiv, pp.57-63, International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06), 2006
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