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A time-differential measurement based algorithm is provided for multi-sensor target tracking. This approach decouples the sensor registration and estimation by handling the original measurements. Thus, estimation can be carried out without considering sensor registration, and then, the registration errors are subsequently corrected. It is shown that this algorithm is more computation efficient than...
Autonomous underwater vehicle (AUV) platforms are low-cost devices with respect to conventional detection and tracking systems for the purpose of anti-submarine warfare (ASW). Unfortunately, the increased level of manageability is often paid in terms of capabilities, e.g., limited speed and endurance, inferior sensor payloads, and so on. This work exploits two fundamental concepts aimed at filling...
In Emergency Medical Assistance an efficient coordination of the ambulance fleet is crucial for enhancing patient treatment by reducing response times. Basic requirement for ambulance coordination is comprehensive information about the current state of the entire ambulance fleet. State information is usually transmitted by the ambulance crew members. However, manually operated state information is...
Due to advances in sensors and communications there has been an increase in data available to Naval Anti-Submarine Warfare tactical systems. Starting with paper plots, expanding to electronic displays and leading to current interactive assistance tools, these systems have evolved to handle the challenge of realizing the potential increase in Situational Awareness that increased data provides without...
In the context of maritime surveillance, low-power high-frequency surface-wave (HFSW) radars are attracting significant attention as cost-effective tools for long-range ship detection and tracking applications. In this paper, multi-target tracking and data fusion techniques are applied to live-recorded data from a network of three oceanographic HFSW radars installed on the coast of the German Bight,...
A major hurdle in the development of soft and hard/soft data fusion systems is the inability to determine the practical performance gains between fusion operators without the burdens associated with human testing. Drift diffusion models of human responses (i.e., decision, confidence assessments, and response times) from cognitive psychology can be used to gain a sense of the performance of a fusion...
Probability transformations provide a method of relating Dempster-Shafer sources of evidence to subjective probability assignments. These transforms are constructed to facilitate decision making over a set of mutually exclusive hypotheses. The probability information content (PIC) metric has been recently proposed for characterizing the performance of different probability transforms. To investigate...
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...
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