Delayed fusion of relative state measurements by extending stochastic cloning via direct Kalman filtering

Ehsan Asadi, Carlo L. Bottasso

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In this work, a real-time localization problem is formulated by incorporating exteroceptive sensors as sources of both relative state measurement and delayed information within a direct Kalman filtering approach. The problem of delayed incorporation of relative state measurements is addressed by extending the stochastic cloning framework, whereby an augmented state vector is defined by copies of the current and delayed states.

Original languageEnglish
Title of host publicationProceedings of the 16th International Conference on Information Fusion, FUSION 2013
Pages2049-2056
Number of pages8
StatePublished - 2013
Externally publishedYes
Event16th International Conference of Information Fusion, FUSION 2013 - Istanbul, Turkey
Duration: 9 Jul 201312 Jul 2013

Publication series

NameProceedings of the 16th International Conference on Information Fusion, FUSION 2013

Conference

Conference16th International Conference of Information Fusion, FUSION 2013
Country/TerritoryTurkey
CityIstanbul
Period9/07/1312/07/13

Keywords

  • Delayed measurements
  • Relative state measurements
  • Stochastic cloning
  • Vision aided INS

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