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Multi-sensor target track fusion based on AFCM

  • Rui Guo*
  • , Xiang Wang
  • , Chi Zhang
  • , Chun Guang Pu
  • *Corresponding author for this work
  • Beihang University

Research output: Contribution to journalArticlepeer-review

Abstract

Multi-target tracking is one of the core technologies in the multi-sensor information fusion. A novel AFCM algorithm is proposed aiming at realizing the multi-target tracking under the cross tracks situation. This new algorithm defines a new distance in new metric space, meanwhile using the improved weighted track fusion algorithm to realize IR and MMW radar sensors track fusion. The new metric has been properly verified and the clustering output improves the data association. Experiments have proved that the novel system has an outstanding performance over normal system from considering the advantages of the multi-sensor and the process complexity. The application of the AFCM optimizes the process of the track fusion and provides a reliable method to realize the multi-target tracking.

Original languageEnglish
Pages (from-to)358-361
Number of pages4
JournalChinese Journal of Sensors and Actuators
Volume22
Issue number3
StatePublished - 2009

Keywords

  • AFCM
  • Distance
  • Multi-target tracking
  • Track fusion
  • Weights

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