Virtual reality (VR) has typically found applications in industrial design, rapid prototyping and advanced scientific visualization. In this paper, we investigate the use of VR for multi-sensor data integration. We attempt to demonstrate that multiple data types - graphical, functional and measurement can be effectively combined inside of a VR environment This platform allows the user to rapidly sift through large and complex data sets and isolate features of interest Furthermore, VR environments can be made to evolve based on system data and user input - this provides the ability to develop scenarios that can be used to make informed decisions. Results demonstrating the effectiveness of this approach are shown using the example of multi-sensor gas transmission pipeline inspection. This work is supported in part by the National Science Foundation award #0216348.
|Original language||English (US)|
|Title of host publication||Proceedings of the ISA/IEEE Sensors for Industry Conference|
|Subtitle of host publication||The Development and Use of Sensors and Transducers, from Theory to the Application of New Technology, SIcon/04|
|Number of pages||7|
|State||Published - May 4 2004|
|Event||Proceedings of the ISA/IEEE Sensors for Industry Conference: the Development and usa of Sensors and Transducers, form Theory to the Application of New Technology, SIcon/04 - New Orleans, LA, United States|
Duration: Jan 27 2004 → Jan 29 2004
|Name||Proceedings of the ISA/IEEE Sensors for Industry Conference|
|Other||Proceedings of the ISA/IEEE Sensors for Industry Conference: the Development and usa of Sensors and Transducers, form Theory to the Application of New Technology, SIcon/04|
|City||New Orleans, LA|
|Period||1/27/04 → 1/29/04|
All Science Journal Classification (ASJC) codes
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Shreekanth Mandayam (Manager) & George D. Lecakes (Manager)