Decision Support System for
Search And Rescue operations

of Missing People

by ELEDIA Research Center

Presence Probability

Estimate the Target's presence probability on the basis of prediction models and best practices adopted worldwide.

Search Area Estimation

Estimates the paths and the maximum area reached by the Target in given time. Person profile and environment characteristics are exploited.

Search Units Planning

Suggest tradeoff solutions for allocating Search Units and routing men from their real-time location to the base camp.

Where could be the Target?

Estimate Target's Presence Probability accordingly to:
Known Positions

e.g., Last Seen Position

Terrain Features

e.g., Elevation, Roads

Catinaccio Mountain, Val di Fassa, Trentino, Italy.

Presence Probability Map

The target was last seen at Gardeccia refuge (RED Marker) and it is known that his destination (BLUE Marker) was Passo Principe.

SHARON estimates the probability of presence in the nearby area accordingly to best-practices. The combined result is shown on interactive 3D map: cold colors indicate a low probability, hot colors indicate an higher probability.

See Base Models

Basic Presence Probability Models

The following models are adopted worldwide in Search-And-Find operations:

Ring Model

This model assumes that the probability is higher close to the last seen position. Three steps are defined.

Based on Last Seen Position.

Tracks Model

This model estimates an high presence probability along and nearby the tracks and roads.

Based on Last Seen Position, nearby Tracks and roads.

Elevation Model

Accordingly to this model, the target should move at the same elevation level with higher probability.

Based on Last Seen Position and Digital Elevation Model of Terrain.

Angular Dispersion Model

This model assumes that the target moves towards the destination near the line of sight.

Based on Last Seen Position and Destination.

Watershed Model

Accordingly to this model, the target should move within the same watershed.

Based on Last Seen Position and Digital Elevation Model of Terrain

How could the Target move?

Estimate the fastest paths (worst case) from Last Seen Position and accordingly to:
Person Profile Information

e.g., age, physical condition, interests, ..

Terrain Characteristics

e.g., morphology, vegetation, roads, ..

Catinaccio Mountain, Val di Fassa, Trentino, Italy.

Estimated Target's Paths

SHARON simulates fastest paths in the nearby area starting from the target's last seen position at Gardeccia refuge (RED Marker).

As expected accordingly to the example scenario morphology, the Target should move on tracks around the mountain peak.

Path Estimation


How far can be the Target?

Estimate the maximum distance reached by the Target since Last Seen Position and Time, accordingly to:
Fastest Paths Simulation

intra-cell velocity and time estimation

Full Grid Exploration

inter-cell navigation policies

Catinaccio Mountain, Val di Fassa, Trentino, Italy.

Estimated Travel Time

The Target is assumed to move from Last Seen Position at Gardeccia refuge (RED Marker) in nearby area.

The time required to reach each cell of the grid (and its fastest path from LSP) is estimated accordingly to Target and Terrain characteristics.

The interactive 3D map highlights low travel time with cold colors and higher travel time using hotter colors.

How many Men are required for searching the area?

and where are they right now?
Wireless Tracking

of Mission Assets

Tradeoff Solutions

Efficiency vs. Cost

Firefighters near Besenello, Trentino, Italy.

Selection of Search Units

Search Units are gathered at the base camp, near the Last Seen Position (RED Marker) to search the blue area within a given time.

SHARON offers tradeoff solutions by considering Cost (axis X) in terms of distance between current position of each man and the base camp, and by considering operation efficiency (axis Y) in terms of fitting Decision makers objectives (e.g., time, number of search units, ..).

Contact Us for more information and Live Demonstration