--Network-based fusion of heterogeneous physical-sensor data for situational awareness in asymmetric, urban scenarios involves quantifications, metrics and procedures that differ from those used in classical symmetric scenarios. This is due to the fact that the targets (human beings and civilian-like objects) are different from the objects of interest in symmetric scenarios and to the fact that occlusion, multipath and interference are present at higher levels in asymmetric, urban scenarios than in symmetric scenarios. Moreover, the signals are often weak, transitory and nonstationary. This session will describe fusion procedures that assist in overcoming these limitations.

--Dr. John Lavery is a Senior Program Manager in the Mathematics Division of the Army Research Office, where he manages a program in information fusion, urban modelling and related areas and carries out research on urban modelling. Dr. Lavery currently leads various U.S. Army initiatives in fusion, including fusion of hard (physics-based) and soft (human, informational) data.