Achieving efficient data fusion through integration of sensory perception control and sensor fusion

We discuss the relationship between a sensory perception controller and traditional data fusion techniques. The perception controller selects process monitors in real-time, based on the expected uncertainty and cost. We experimentally compare its operation to traditional data fusion methods and show how to combine the two for improved performance.

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