Title :
Random set theoretic soft/hard data fusion framework
Author :
Khaleghi, B. ; Karray, F.
Author_Institution :
ECE, Univ. of Waterloo, Waterloo, ON, Canada
Abstract :
Relying on the random set theory, a new data fusion framework is proposed to enable fusion of both soft and hard data. First, soft and hard data are modeled in a unified approach. Next, a novel method for soft data trustworthiness estimation is developed. The experimental results demonstrate significant performance improvement achieved through systematic incorporation of soft data into the data fusion process.
Keywords :
random processes; sensor fusion; set theory; hard data modelling; performance improvement; random set theoretic soft/hard data fusion framework; soft data modelling; soft data trustworthiness estimation; unified approach; Data fusion; Data integration; Data models; Sensors; Target tracking; Uncertainty;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2014.120621