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The methods provided by sensor and data fusion [14] are important tools for fusing large sets of mutually complementary data end efficiently exploiting the sensor systems available. A challenging exploitation technology at the common interface between sensors, command & control systems, and the human decision makers involved, this technology plays a key role in applications with time-critical situations or in situations with a high decision risk, where human deficiencies are to be compensated by automatically or interactively working fusion techniques (compensating decreasing attention in routine situations, focusing the attention on anomalous or rare events, complementing limited memory, reaction, or combination capabilities of human beings). Besides the advantages of reducing the human work load in routine or mass tasks, data fusion from mutually complementary information sources can well produce qualitatively new knowledge that otherwise would remain unrevealed.

Advanced Sensor and Dynamics Models with an Application to Sensor Management