Sensor fusion plays an important role in many application domains. There are many frameworks within which to combine the information into a more definitive answer. Our fusion system is built based on the uncertainty approach utilizing the linguistic extension of the Choquet fuzzy integral. The uncertainty in the data is expressed by a linguistic vector, i.e., a vector of fuzzy sets.
Linguistic models of decision level confidence outputs from multiple sensors are created. This includes position and confidence linguistic vectors. The linguistic version of the Choquet fuzzy integral is used in the position fusion and confidence fusion. Then the position and confidence are combined into a single fuzzy set.
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