Abstract
Locusts have a remarkable ability of visual guidance that includes collision avoidance exploiting the limited nervous networks in their small cephalon. We have designed and tested a real-time intelligent visual system for collision avoidance inspired by the visual nervous system of a locust. The system was implemented with mixed analog-digital integrated circuits consisting of an analog resistive network and field-programmable gate array (FPGA) circuits so as to take advantage of the real-time analog computation and programmable digital processing. The response properties of the system were examined by using simulated movie images, and the system was tested also in real-world situations by loading it on a motorized miniature car. The system was confirmed to respond selectively to colliding objects even in complex real-world situations.
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© 2008 Springer-Verlag Berlin Heidelberg
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Okuno, H., Yagi, T. (2008). A Robot Vision System for Collision Avoidance Using a Bio-inspired Algorithm. In: Ishikawa, M., Doya, K., Miyamoto, H., Yamakawa, T. (eds) Neural Information Processing. ICONIP 2007. Lecture Notes in Computer Science, vol 4985. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69162-4_12
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DOI: https://doi.org/10.1007/978-3-540-69162-4_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69159-4
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