Runtime Simulation for Post-Disaster Data Fusion Visualization

Abstract : With regard to the threats of recent natural and man-made disasters, it is important for a control center to be aware of the situation and be able to assess the threat. However, simulating a large amount of post-disaster fused data is a complicated task, and its visualization is even more difficult to achieve with the paradigm of common geo-referencing systems. We have developed a post-disaster monitoring interface that runs in a fusion-based simulation with High Level Architecture/Run Time Infrastructure (HLA/RTI). In our visualization system, damage and recovering activities are presented in a fast GIS vector map with convenient data and display manipulation. All data that comes from the data fusion federates is displayed at run-time and stored for further analysis. In addition, the pattern of time-aggregated data has enabled dynamic visualization, which includes the morphing of the casualty clusters. This feature provides an effective way to keep track of a region so that a user can easily be aware of the emerging trends. A unique approach to multiple views by the integration of 2D and 3D displays of the fused data is also described.

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