A Virtual Reality Environment for Multi-Sensor Data Integration
Article comments
Copyright © 2003 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The definitive version is available at http://dx.doi.org/10.1109/SFICON.2004.1287142.
NOTE: At the time of publication, the author John Chen was not yet affiliated with Cal Poly.
Abstract
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.
Suggested Citation
Scott Papson, Joseph Oagaro, Robi Polikar, John Chen, John L. Schmalzel, and Shreekanth Mandayam. "A Virtual Reality Environment for Multi-Sensor Data Integration" Proceedings for the Sensors for Industry Conference: New Orleans, LA.. Jan. 2004.
Available at: http://works.bepress.com/jchen24/26