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Performance of a smart velocity sensor: The impulse retina

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Methodology and Tools in Knowledge-Based Systems (IEA/AIE 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1415))

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Abstract

In the context of mobile robot, we have developed an artificial neural network permitting a pre-processing of foveal vision : the Retina model. This model is adaptative and its multi-resolution allows to detect a large scale of velocities. The aim of this study is to use the Retina to detect the motion and extract the velocity vector of a time sequence image. From impulse output signals of Retina we extract the pertinent parameters which encode the motion by time frequency analysis.

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José Mira Angel Pasqual del Pobil Moonis Ali

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© 1998 Springer-Verlag

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Emmanuel, M., Christophe, C., Olga, C., Alain, F. (1998). Performance of a smart velocity sensor: The impulse retina. In: Mira, J., del Pobil, A.P., Ali, M. (eds) Methodology and Tools in Knowledge-Based Systems. IEA/AIE 1998. Lecture Notes in Computer Science, vol 1415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64582-9_801

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  • DOI: https://doi.org/10.1007/3-540-64582-9_801

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64582-5

  • Online ISBN: 978-3-540-69348-2

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