DocumentCode
353778
Title
Robust data fusion
Author
Grandin, Jean-françois ; Marquès, Miguel
Author_Institution
Thomson-CSF, Trappes-Elancourt, France
Volume
1
fYear
2000
fDate
10-13 July 2000
Abstract
Compares different fusion processes in terms of error probability and robustness. To begin with, simple fusion operators are studied within the general framework of two binary sensors (maximum likelihood, and logical fusion functions like ´OR´ and ´AND´). Then the comparison is extended to likelihood vectors adding other fusion operators (T-norms, T-conorms, means operators). Finally, different models of fusion processes informed with the source uncertainty are proposed and demonstrated to have good robustness properties.
Keywords
error statistics; mathematical operators; maximum likelihood estimation; sensor fusion; uncertain systems; T-conorms; T-norms; binary sensors; error probability; fusion operators; imprecision; likelihood vectors; logical fusion functions; maximum likelihood; means operators; reliability; robust data fusion; sensor data fusion process; source uncertainty; Density measurement; Detectors; Educational institutions; Entropy; Error probability; Maximum likelihood detection; Robustness; Sensor fusion; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on
Conference_Location
Paris, France
Print_ISBN
2-7257-0000-0
Type
conf
DOI
10.1109/IFIC.2000.862454
Filename
862454
Link To Document