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
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;
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
DOI :
10.1109/IROS.1993.583125
