Presentation 2005-10-14
A neuromorphic system for recognition of an approaching object inspired by insect vision
Hirotsugu OKUNO, Tetsuya YAGI,
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Abstract(in English) We designed a neuromorphic vision sensor to detect a looming object in real time. To respond selectively to looming stimuli, the sensor employs an algorithm inspired by a visual nervous system in a locust, which can avoid a collision robustly by use of visual infomation. We devised a model which consists of passive electric circuit elements and confirmed that the model provides similar infomation to that of locust visual system. After testing the performance of the model, we realized a compact system with a silicon retina and FPGA circuits. The system showed a strong response to looming stimuli.
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Keyword(in English) collision avoidance / insect vision / bioinspired / silicion retina
Paper # MBE2005-83
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Conference Information
Committee MBE
Conference Date 2005/10/7(1days)
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Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A neuromorphic system for recognition of an approaching object inspired by insect vision
Sub Title (in English)
Keyword(1) collision avoidance
Keyword(2) insect vision
Keyword(3) bioinspired
Keyword(4) silicion retina
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 2005-10-14
Paper # MBE2005-83
Volume (vol) vol.105
Number (no) 335
Page pp.pp.-
#Pages 4
Date of Issue