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.