Title :
Sensor fusion: a rough granular approach
Author :
Peters, John F. ; Ramanna, S. ; Skowron, Andrzej ; Stepaniuk, Jaroslaw ; Suraj, Zbigniew
Author_Institution :
Manitoba Univ., Winnipeg, Man.
Abstract :
The paper introduces an application of a particular form of rough granular computing in fusing (combining) sensor readings. The intent of the paper is to describe a system that engages in a form of knowledge discovery based on sensor fusion. Such a system responds to sensor outputs in a manner that is selective, determines the relevance of each sensor in a classification effort, and constructs information granules computationally useful in arriving at a decision (proposed solution to a problem) in a problem-solving system. A sensor is a device that responds to each stimulus by converting its measured input to some form of usable output. Relevance of a sensor is computed with a rough integral that computes a form of ordered weighted average of sensor values. The construction of an information granule depends on the selection of a threshold for sensor values. Only those sensors with rough integral values approaching a selected threshold are fused (i.e., used to construct a granule). The contribution of the paper is the introduction of a sensor fusion method based on rough integration. By way of practical application, an approach to fusion of homogeneous sensors deemed relevant in a classification effort is considered
Keywords :
filtering theory; pattern classification; rough set theory; sensor fusion; classification; concept approximation; homogeneous sensors; information granule; information granules; knowledge discovery; ordered weighted average; problem solving system; rough granular approach; rough granular computing; rough integral; rough integral values; rough integration; rough membership function; rough sets; sensor fusion; sensor outputs; sensor readings; sensor values; usable output; Application software; Computer science; Information systems; Mathematics; Problem-solving; Rough sets; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Sensor systems and applications;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.943748