Supervised multisensor tracking algorithm

@article{Nimier1998SupervisedMT,
  title={Supervised multisensor tracking algorithm},
  author={Vincent Nimier},
  journal={9th European Signal Processing Conference (EUSIPCO 1998)},
  year={1998},
  pages={1-4}
}
  • Vincent Nimier
  • Published 1998 in
    9th European Signal Processing Conference…
We propose, in this paper, a method and an algorithm for combining symbolic and numerical information for data fusion in tracking application. The objective is to have a tracking algorithm supervised by contextual analysis. This analysis is able to detect the sensors which are reliable and those which are not in operational situations. Then, automatically the algorithm increase, in the fusion process, the importance of measurements of reliable sensor and decrease the importance of those… CONTINUE READING
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Probability Measures of Fuzzy Event

  • L. A. Zadeh
  • JMAA, vol 23,
  • 1968
Highly Influential
5 Excerpts

Fusion of Sensors with dissimilar Measurement/tracking accuracies

  • A. M. Haimovich
  • IEEE trans. on AES,
  • 1993
1 Excerpt

Multitarget - Multisensor Tracking: Application and Advances

  • Y. Bar-Shalom
  • 1992
1 Excerpt

Perspectives liées à la fusion de données

  • A. Appriou
  • Science et défense 90,
  • 1990
1 Excerpt

Comparaison of two-sensors tracking methods based on state vector fusion

  • J. A. Roecker, C. D. McGillem
  • IEEE trans. on AES,
  • 1988

Tracking and data association

  • Y. Bar-Shalom, T. E. Fortman
  • 1988
2 Excerpts

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