Robust Data Fusion

نویسندگان

  • Jean-François Grandin
  • Miguel Marquès
چکیده

This paper compares different fusion processes in terms of error probability and robustness. To begin with, simple fusion operators are studied in the general framework of two binary sensors (Maximum Likelihood and logical fusion functions like ‘or’, ‘and’...). In the sequel, the comparison is extended to likelihood vectors adding other fusion operators (T-norms, Tconorms, means operators). Finally, different models of fusion processes informed with the source uncertainty are proposed and demonstrate to have good robustness properties.

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تاریخ انتشار 2002