Data association in multi-target detection using the transferable belief model

نویسندگان

  • André Ayoun
  • Philippe Smets
چکیده

In the transferable belief model, a model for the quantified representation of beliefs, some masses can be allocated to the empty set. It reflects the conflict between the sources of information. This quantified conflict can be used in order to solve the problem of data association in a multitarget detection problem. We present and illustrate the procedure by studying an example based on the detection of sub-marines. Their number and the association of each sensor to a particular source are determined

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عنوان ژورنال:
  • Int. J. Intell. Syst.

دوره 16  شماره 

صفحات  -

تاریخ انتشار 2001