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Mobile Situational Visualization on top of VGIS
It is critical for military personnel in combat zones to gain awareness of precise space-time information for risks in the surrounding environment by information sharing among co-user and to get optimal routes around these risks within a very short period of time. Our research explores the effectiveness of a Risk Minimization Path Planning Algorithm (RMPPA) to generate and render accurate optimal routes within the 3D Mobile Virtual Geographic Information System (VGIS) for a group of mobile users in a simulated urban battlefield.

In this project, we designed a real-time interactive Mobile Path Engine (MPE) on top of Mobile VGIS. Mobile VGIS provides risk information precise in both time and space by combining sensor information (GPS, orientation tracking) with precisely placed annotations in a virtual representation of the local environment. The MPE sever collects the most recent risk information from the Mobile VGIS annotation/risk server, and rasters the region of interest into a grid with road intersections and road ends as nodes. MPE then computes a probabilistic risk distribution for the grid, generates a sequence of nodes that represents an optimal path based on cost by RMPPA, and then sends them to the MPE client side interface. Finally, the MPE client side interface visualizes the resultant path upon the 3D terrain within VGIS. The system also allows the user to interactively select a weight for the trade-off between risk and distance (i.e., on a continuum between lowest risk regardless of path length and shortest path regardless of risk). Our field simulation tests support our belief of the effectiveness of the MPE in Mobile VGIS. This integrated system provides shared mobile situational visualization.

Keywords: Real-time, 3D terrain Visualization, Spatial Datasets.


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