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