Neural networks for improved target differentiation and localization with sonar
نویسندگان
چکیده
منابع مشابه
Neural Network Based Target Differentiation using Sonar for Robotics Applications
This study investigates the processing of sonar signals using neural networks for robust differentiation of commonly encountered features in indoor robot environments. The neural network can differentiate more targets with higher accuracy, improving on previously reported methods. It achieves this by exploiting the identifying features in the differential amplitude and time-of-flight (TOF) char...
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This study investigates the processing of sonar signals using neural networks for robust di erentiation of commonly encountered features in indoor environments. Di erentiation of such features is of interest for intelligent systems. Amplitude and time-ofight (TOF) patterns of sonar signals acquired from a real system are processed using neural networks. Compared to earlier approaches, the patte...
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1 University of the Aegean, Dept. of Finance and Management Eng., Greece, email: [email protected] 2 University of the Aegean, Dept. of Finance and Management Eng., Greece, email: [email protected] 3 University of the Aegean, Dept. of Shipping, Trade and Transport, Greece, email: [email protected] Abstract. A real-world problem is addressed in this work using a novel approach belonging to t...
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ژورنال
عنوان ژورنال: Neural Networks
سال: 2001
ISSN: 0893-6080
DOI: 10.1016/s0893-6080(01)00017-x