Title :
Sensory data integration: a team consensus approach
Author :
Basir, Otman A. ; Shen, Helen C.
Author_Institution :
Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
Abstract :
The authors presented an approach that can be used to integrate multisensory data. The approach treats the sensors of a multisensor system as a group of experts cooperating with each other to resolve environment ambiguities. The approach is based on a recursive team utility function that is capable of bringing the team members to a consensus. This approach is simple and computationally tractable. The approach can be applied to integrate observation in object identification, a prominent area in which multisensor systems have the potential to play an important role
Keywords :
image recognition; sensor fusion; uncertainty handling; image recognition; multisensory data integration; object identification; recursive team utility function; sensor fusion; team consensus; uncertainty; Bandwidth; Design engineering; Electric variables measurement; Knowledge acquisition; Mechanical sensors; Optical sensors; Performance evaluation; Robot sensing systems; Systems engineering and theory; Uncertainty;
Conference_Titel :
Robotics and Automation, 1992. Proceedings., 1992 IEEE International Conference on
Conference_Location :
Nice
Print_ISBN :
0-8186-2720-4
DOI :
10.1109/ROBOT.1992.220136