Information fusion using particles intersection

Or Tslil, Avishy Carmi

Research output: Contribution to conferencePaperpeer-review


A technique is presented for combining arbitrary empirical probability density estimates whose interdependencies are unspecified. The underlying estimates may be, for example, the particle approximations of a pair of particle filters. In this respect, our approach provides a way to obtain a new particle approximation, which is better in a precise information-theoretic sense than that of any of the particle filters alone. The viability of the proposed approach is demonstrated in a multiple object tracking scenario.

Original languageEnglish
Number of pages9
StatePublished - 1 Jan 2018
Event58th Israel Annual Conference on Aerospace Sciences, IACAS 2018 - Tel-Aviv and Haifa, Israel
Duration: 14 Mar 201815 Mar 2018


Conference58th Israel Annual Conference on Aerospace Sciences, IACAS 2018
CityTel-Aviv and Haifa

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science


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