Fusion methods for multiple sensor systems with unknown error densities

@inproceedings{Rao1994FusionMF,
  title={Fusion methods for multiple sensor systems with unknown error densities},
  author={Nageswara S. V. Rao},
  year={1994}
}
Abstract Consider that the sensor Si, i = 1,2,…,N, outputs y (i) ϵ R ; d , according to an unknown probability density pi(y(i)|x), corresponding to an object with parameter xϵ R d . For the system of N sensors, S1, S2,…,SN, a training l-sample (x1,y1), (x2,y2),…, (x1,y1) is given where yi = (y(1)i,y(2)i,…,y(N)i) and y(j)i is the output of Sj in response to input xi. The problem is to estimate a fusion rule ƒ: R Nd ↦ R d , based on the sample, such that the expected square error I(ƒ) = ∫ [x… CONTINUE READING

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