Abstract
The aim of this paper is the recognition of simple plane geometric shapes using Artificial Neural Networks and ultrasound echoes obtained from appropriate objects situated in front of one ultrasonic sensor. For us, the two much more simple plane geometric shapes are: segments and corners. Once the echoes were obtained by the sensor and stored in the computer, we preprocessed them by Fast Fourier Transform Algorithm and then we fed to an Artificial Neural Network with the first one hundred coefficients of the Fourier Serie of each echo obtained from the sensor. The Network is trained by Backpropagation algorithm.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
References
F. Arroyo, A. Gonzalo, E. Moreno. Neural Network Desing for Mobile Robot Control Following a Contour. Lectures Notes in Computer Science N∘ 540. International Workshop IWANN'91 pp 430–436 1991.
R.Paul Gorman & T.J.Sejnowski. Learned Classification of Sonar Targets Using a Massively Parallel Network. IEEE Trans. on Acoustic Speed and Signal Processing Vol 7 pp 1437–1440 July 1988.
J.C.Montaño, Ma.C.Florido, M.Castilla, A.Lopez y J.Gutierrez. Realización de la FFT en PC. Mundo Electrónico. pp 73–81 Diciembre 1989.
Kenji Nakayama. An Improved Fast Fourier Transform Algorithm Using Mixed Frecuency and Time Decimation. IEEE Trans. on Acoustic Speed and Signal Processing Vol 36 N∘ 2 February 1988.
Polaroid Ultrasonic Ranging System Handbook Application Notes/Technical Papers.
J.J.McClelland & D.E.Rumelhart. Parallel Distributed Processing. Vol I MIT Brodford Press, 1986.
J.Hertz, A.Krogh, R.G.Palmer. Introduction to the Theory of Neural Computation. Lecture Notes Vol I Santa Fe Institute. Addison-Wesley 1991.
Data Translation INC User Manual for DT2811.
Polaroid Corporation. (1984) “Polaroid Ultrasonic Ranging System Handbook”.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1995 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Arroyo, F., Gonzalo, A., Hilera, J.R. (1995). Using Artificial Neural Networks for ultrasonic signals processing from simple geometric shapes. In: Mira, J., Sandoval, F. (eds) From Natural to Artificial Neural Computation. IWANN 1995. Lecture Notes in Computer Science, vol 930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-59497-3_277
Download citation
DOI: https://doi.org/10.1007/3-540-59497-3_277
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-59497-0
Online ISBN: 978-3-540-49288-7
eBook Packages: Springer Book Archive