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Alternatives to Monte-Carlo simulation evaluations of two multisensor fusion algorithms

Author(s):

C. Frei, L.Y. Pao
Conference/Journal:

Automatica, vol. 34, no. 1, pp. 103-110
Abstract:

Parallel and sequential multisensor extensions of the probabilistic data association filter for multitarget tracking in clutter are presented, and a non-simulation technique is developed and used to compare tracking performance of the two algorithms in case of a single target. While requiring only a fraction of the time for Monte-Carlo simulation evaluation, the non-simulation technique is shown to accurately predict the average superior performance of the sequential implementation in terms of RMS position error and track lifetime which has been observed in simulations.

Year:

1998
Type of Publication:

(01)Article
Supervisor:



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% Autogenerated BibTeX entry
@Article { FrePao:1998:IFA_1104,
    author={C. Frei and L.Y. Pao},
    title={{Alternatives to Monte-Carlo simulation evaluations of two
	  multisensor fusion algorithms}},
    journal={Automatica},
    year={1998},
    volume={34},
    number={1},
    pages={103--110},
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=1104}
}
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