Presentation 2007-11-18
Development of a compact visual signal processing module inspired by insect vision
Hirotsugu OKUNO, Tetsuya YAGI,
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Abstract(in English) Insects can process visual signals efficiently with limited nervous networks of the small cephalon, and survive in the natural world. Their remarkable ability of visual signal processing can be good models of developing compact visual signal processing systems. In this study, we focused on their ability of collision avoidance, which requires instant processing, and developed a collision avoidance system inspired by insects. An electronic circuit model was designed to mimic the architecture of the locust visual nervous system, which responds selectively to colliding objects. Computer simulations showed that the model provided appropriate responses for collision avoidance. We implemented the model with a compact hardware system consisting of a resistive network and FPGA circuits. The system was tested in real-world situations by loading it on a motorized car, and was successful in responding selectively to colliding objects.
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Keyword(in English) collision avoidance / insect / neuromorphic
Paper # NC2007-56
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Committee NC
Conference Date 2007/11/11(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Development of a compact visual signal processing module inspired by insect vision
Sub Title (in English)
Keyword(1) collision avoidance
Keyword(2) insect
Keyword(3) neuromorphic
1st Author's Name Hirotsugu OKUNO
1st Author's Affiliation Graduate School of Engineering, Osaka University()
2nd Author's Name Tetsuya YAGI
2nd Author's Affiliation Graduate School of Engineering, Osaka University
Date 2007-11-18
Paper # NC2007-56
Volume (vol) vol.107
Number (no) 328
Page pp.pp.-
#Pages 5
Date of Issue