Improvement of D-S evidential theory in multisensor data fusion system

Lijia Xu*, Yangzhou Chen, Pingyuan Cui

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

25 Citations (Scopus)

Abstract

In recent years, numerous multisensor data fusion systems have been developed for wide application. There are many algorithms in multisensor data fusion, D-S evidence theory is a useful method for dealing with uncertainty problems. This paper describes the main features of the evidential combination algorithm which is implemented in our research, It also gives improvement to the shortage of its combine rule and gives it's new rule, thus we can combine high conflicted evidences with different weights, which have been calculated through different information included in the numerous evidences. The examples have been done to demonstrate the efficiency of the new combine rule, it can improve the reliability of the combination results.

Original languageEnglish
Pages3124-3128
Number of pages5
Publication statusPublished - 2004
Externally publishedYes
EventWCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings - Hangzhou, China
Duration: 15 Jun 200419 Jun 2004

Conference

ConferenceWCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings
Country/TerritoryChina
CityHangzhou
Period15/06/0419/06/04

Keywords

  • Basic probability assignment function
  • Evidence theory
  • Information fusion

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