Abstract
Analog VLSI circuits implementing aspects of biological systems are attractive for the construction of compact low-power autonomous systems. We describe such a system, consisting of a mobile robot equipped with a neuromorphic sensor implementing a one dimensional silicon retina. Specifically, we demonstrate how the real-time visual pre-processing capabilities of the neuromorphic sensor are instrumental in enabling the system to reliably and autonomously track a continuous edge. We present data both from the neuromorphic sensor and from the overall system, performing a line tracking task.
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© 1997 Springer-Verlag Berlin Heidelberg
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Indiveri, G., Verschure, P. (1997). Autonomous vehicle guidance using analog VLSI neuromorphic sensors. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020254
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DOI: https://doi.org/10.1007/BFb0020254
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