Soft Sensor Management for Multisensor Tracking Algorithm

  • V. Nimier
Part of the NATO Science Series book series (NAII, volume 70)


This chapter describes a method and an algorithm for combining symbolic and numerical information for data fusion in a tracking application. In recent years, the synergetic use of multiple sensors has received a great deal of attention. The major benefits of such use are an increase in the ability to analyse complex situations and an improved robustness of the fusion process in a cluttered environment. Military command and control, battlefields management, mobile robot navigation, and multitarget tracking are all typical applications that can benefit from the use of multiple sensors. Therefore, both the integration and the fusion of information, provided by multiple sensors, appear to be fields of growing interest.


Membership Function Data Fusion Multiple Sensor Confidence Coefficient Cluttered Environment 
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Copyright information

© Springer Science+Business Media Dordrecht 2002

Authors and Affiliations

  • V. Nimier
    • 1
  1. 1.ONERAChatillon CedexFrance

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