Title :
Intelligent measuring systems for distance estimation based on fuzzy data fusion
Author :
Baglio, S. ; Graziani, S. ; Pitrone, N.
Author_Institution :
Dept. Elettrico, Elettronico e Sistemistico, Catania Univ., Italy
Abstract :
In this paper a new system for distance measurement is proposed. Both optical and acoustical sensors have been adopted. Fuzzy data fusion methodologies, adopted to perform high quality measurements from the multiple sensor estimations, are described. The experimental set-up and the metrological characterization of the measuring system are also reported
Keywords :
acoustic signal processing; computerised instrumentation; computerised navigation; distance measurement; fuzzy logic; intelligent control; measurement systems; optical information processing; optical sensors; sensor fusion; ultrasonic measurement; acoustical sensors; autonomous vehicle navigation; distance measurement; fuzzy data fusion; fuzzy logic algorithm; high quality measurements; intelligent measuring systems; large operating range; metrological characterization; multiple sensor estimations; optical sensors; Acoustic measurements; Displacement measurement; Distance measurement; Fuzzy systems; Intelligent systems; Optical devices; Optical sensors; Reflectivity; Sensor systems; Voltage;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1996. IMTC-96. Conference Proceedings. Quality Measurements: The Indispensable Bridge between Theory and Reality., IEEE
Conference_Location :
Brussels
Print_ISBN :
0-7803-3312-8
DOI :
10.1109/IMTC.1996.507578
