This paper addresses the correlation problem which is central in sensor fusion, from the viewpoint of possibility theory. This problem aims at separating pieces of information pertaining to different objects and to gather those which are likely to pertain to the same object. We present two different views of the problem, one based on similarity relations, while the other discusses the problem in a logical framework.
['Michel Grabisch', 'Henri Prade']
The Correlation Problem in Sensor Fusion in a Possibilistic Framework