SHARON estimates the probability of presence in the nearby area accordingly to state-of-the-art models and taking into account person's profile. The combined result is shown on interactive 3D map: cold colors indicate a low probability, hot colors indicate an higher probability
In the example on the right, the target was last seen at Gardeccia refuge 
and it is known that his destination 
was Passo Principe
SHARON simulates fastest paths in the nearby area starting from the target's last seen position.
In the example on the right, the target is expected to move from last seen position at Gardeccia refuge on the paths around the mountains peaks.
SHARON estimates the the time required to reach each cell of the grid (and its fastest path) from the last seen position accordingly to person's profile and terrain characteristics
The interactive 3D map highlights low travel time with cold colors and higher travel time using hotter colors
In the example on the right, the target is assumed to move from Last Seen Position at Gardeccia refuge in nearby area
SHARON offers trade-off solutions by considering Cost in terms of distance between current position of each man and the base camp, and by considering operation efficiency in terms of fitting Decision makers objectives (e.g., time, number of search units, ..)
Search Units are gathered at the Base Camp 
to search the green area within a given time
SHARON keeps information log of rescuers involved in the search operations (e.g., in/out time, position, searched area) to ensure their safety. Rescuers' position information is also exploited in real-time to update the target presence probability model.
In the example on the right, some tracks from GPS trackers on rescuers and K9 unit (dog) are shown.
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