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Predictive Situation Awareness (PSAW) is the ability to estimate and predict aspects of a temporally evolving situation. PSAW systems reason about complex and uncertain situations involving multiple targets observed by multiple sensors at different times. Multi-Entity Bayesian Networks (MEBN) are rich enough to represent and reason about uncertainty in complex, knowledge-rich domains, and have been...
Predictive Situation Awareness (PSAW) emphasizes the ability to make predictions about aspects of a temporally evolving situation. Higher-level fusion to support PSAW requires a semantically rich representation to handle complex real world situations and the ability to reason under uncertainty about the situation. Multi-Entity Bayesian Networks (MEBN) are rich enough to represent and reason about...
Over the past two decades, machine learning has led to substantial changes in Data Fusion Systems throughout the world. One of the most important application areas for data fusion is situation awareness. Situation Awareness is perception of elements in the environment, comprehension of the current situation, and projection of future status before decision making. Traditional fusion systems focus on...
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