DocumentCode
309404
Title
Aggregating interdependent sensory data in multisensor systems
Author
Basir, Otman A. ; Shen, Helen C.
Author_Institution
Dept. of Syst. Design Eng.,Waterloo Univ., Ont., Canada
Volume
1
fYear
1993
fDate
26-30 Jul 1993
Firstpage
377
Abstract
The authors investigate the issue of information interdependence in multisensor systems. A consensus group approach which accounts for interdependence between group sensors is presented. The approach is based on an information theory formulation. An algorithm for computing a weighting scheme for the group sensors is developed. The algorithm rewards each sensor for the quality of its measurements and penalizes it for its interdependence with other sensors in the group
Keywords
information theory; consensus group approach; information interdependence; information theory; interdependent sensory data; multisensor systems; weighting scheme; Area measurement; Design engineering; Humans; Intelligent sensors; Noise measurement; Noise reduction; Robot sensing systems; Sensor phenomena and characterization; Sensor systems; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems '93, IROS '93. Proceedings of the 1993 IEEE/RSJ International Conference on
Conference_Location
Yokohama
Print_ISBN
0-7803-0823-9
Type
conf
DOI
10.1109/IROS.1993.583125
Filename
583125
Link To Document