TY - GEN
T1 - A Virtual Reality Environment for Multi-Sensor Data Integration
AU - Papson, Scott
AU - Oagaro, Joseph
AU - Polikar, Robi
AU - Chen, John C.
AU - Schmalzel, John L.
AU - Mandayam, Shreekanth
PY - 2004
Y1 - 2004
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/1942517431
UR - https://www.scopus.com/pages/publications/1942517431#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:1942517431
SN - 0780381432
SN - 9780780381438
T3 - Proceedings of the ISA/IEEE Sensors for Industry Conference
SP - 116
EP - 122
BT - Proceedings of the ISA/IEEE Sensors for Industry Conference
T2 - 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
Y2 - 27 January 2004 through 29 January 2004
ER -