Title :
Robust data fusion
Author :
Grandin, Jean-françois ; Marquès, Miguel
Author_Institution :
Thomson-CSF, Trappes-Elancourt, France
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;
Conference_Titel :
Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on
Conference_Location :
Paris, France
Print_ISBN :
2-7257-0000-0
DOI :
10.1109/IFIC.2000.862454
