Situational awareness supports tactical decision making through fusion of information about intelligence, geography, environment, and the geopolitical situation. Advanced decision support systems will provide the decision maker with a number of hypotheses from which the evolving situation may

and processing techniques suitable for such domains as part of a larger effort to support human-centric hard/soft data fusion. In this paper, we present a sensor suite, an information processing architecture, examples of the resulting fused information, and future experimental designs. These combined resources

in the maritime domain and show that the probabilistic model yields the expected results. Keywords—surveillance system; situation awareness; situation assessment; data fusion; dynamic Bayesian networks; probabilistic reasoning. I.

This paper focuses on the problem of lack of Situation Awareness (SA) by mariners. An analysis of a large number of accident reports was conducted in order to determine the extent to which SA is a relevant issue in merchant shipping operations. For the first time use was made of the Leximancer

We describe an agent-based approach to the visual tracking of human hands and head that represents a very useful “middle ground ” between the simple model-free tracking and the highly constrained model-based solutions. It combines the simplicity, speed and flexibility of tracking without using

very well, and typically also some form of low-level data fusion and analysis, e.g., recognizing patterns over time. However, a still open research challenge is to build systems that support higher-level information fusion, viz., to integrate domain specific knowledge and automatically draw conclusions

During a decade, information fusion within the military domain has focussed on putting together a situation picture from the "battle field" where an enemy, known regarding organisation and doctrine, is moving ahead. Clustering and association of observation reports, target tracking

Achieving agile Command and Control in Maritime Operations requires composeability- the ability to construct responses “on the fly ” to queries about a given situation, by discovering and drawing upon the appropriate resources from among the vast collection of resources existing on a distributed

of maritime domain awareness, mobile adhoc networks, and multispectral image fusion.

to increase overall situational awareness and reliability while significantly reducing human operator workload.