Information Fusion using Covariance Intersection in the Frame of the Evidence Theory

David Helbert (1, 2) , Bertrand Augereau (1) , Christine Fernandez-Maloigne (1)

1 SIC - SIGNAL-IMAGE-COMMUNICATION
2 DGA/CTA/DT/GIP - CEP Arcueil

This paper presents a multisensor and multitarget tracking architecture with objects eclipses. The architecture is composed of two sub-systems : a multitarget tracking for each sensor and a multitarget and multisensor fusion center. The multitarget tracking uses the Dempster-Shafer theory with proposed distributions of masses, that are functions of the distance between perceived objects and known objects, the sensor reliability and the perception uncertainty. The multisensor fusion is based on the Covariance Intersection algorithm.

Domaines: Traitement des images [eess.IV]

David Helbert, Bertrand Augereau, Christine Fernandez-Maloigne. Information Fusion using Covariance Intersection in the Frame of the Evidence Theory. Advanced Concepts for Intelligent Vision Systems (ACIVS 2004), Aug 2004, Brussels, Belgium. pp.0. ⟨hal-00331438⟩