Title :
Multi-sensor information fusion with application to multi-camera systems
Author :
Mavandadi, Sam ; Aarabi, Parham
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Abstract :
A systematic approach to the fusion of data obtained from multiple sensors for the task of localization is presented. Under the assumption that the sensor information and sensor reliability can be represented in the form of probabilistic functions, the information obtained from multiple sensors are fused using a Bayesian framework. The technique is then applied to the two-dimensional localization of a camera by means of acoustic and visual localizations.
Keywords :
belief networks; reliability; sensor fusion; Bayesian framework; acoustic localization; multicamera systems; multisensor information fusion; probabilistic functions; sensor information; sensor reliability; two-dimensional localization; visual localization; Acoustic sensors; Cameras; Extraterrestrial measurements; Microphone arrays; Noise reduction; Reliability engineering; Sensor arrays; Sensor fusion; Sensor phenomena and characterization; Sensor systems;
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
Print_ISBN :
0-7803-8566-7
DOI :
10.1109/ICSMC.2004.1399799
