In this paper a new intelligent sensor for distance measurements is proposed. Both optical and acoustical sensors are adopted. Fuzzy data fusion methodologies have been applied in order to integrate the distance estimates of the different sensors. The introduced intelligent measurement system allows high quality distance estimation to be obtained in a wide operating range with low sensitivity to environmental noise. The experimental set-up and the metrological characterisation of the measuring system are reported.
Abdulghaufour, M., and Fellah, A.1994. 'Fuzzy Logic-Based Data Integration: Theory and Application ', Proc of 1994 IEEE internat conf. on Multisensor Fusion and Integration for Intelligent Systems (MFI'94)', Las Vegas (NV).
2.
Doebelin, E.O.1990. Measurement Systems Application and Design, McGraw Hill.
3.
Flynn, A.M.1988. 'Combining sonar and infrared sensors for mobile robot navigation', Int J on Robotic Research, 7(6), 5-14.
4.
Hall, D.L.1992. Mathematical Techniques in Multisensor Data Fusion, Artech House Inc.
5.
Nachtigal, C.L.1990. Instrumentation and Control, John Wiley & Son, Inc.
6.
Tong, R.M.1977. 'A control engineering review of fuzzy systems', Automatica, 13, 559-569.
7.
Waltz, E., and Llinas, J.1990. Multisensor Data Fusion, Artech House .
