Intelligent perception: an approach to multidimensional data interpretation

The architecture of an intelligent perception system (IPS) is analyzed, and the main problems related to its practical implementation are discussed. Particular attention has been devoted to the data fusion function, which initiates the process and gives information on the actual situation with the associated uncertainties; the hypotheses function, which takes into consideration the uncertainties in the correlated data and creates the best explanations of the fused data; the option function, which creates various response alternatives for each hypothesis simulating the resulting effects; and the response function, which realizes the planned actions so producing new stimuli and initializing other processing cycles. The architecture of the IPS is presented