| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Outline of Final Research Achievements |
In this study, we devised an algorithm that estimates the ego-motion of a small unmanned aerial vehicle by classifying optical flow (OF) patterns, inspired by insect’s visuomotor control system. We also implemented the algorithm in a small circuit system composed of a CMOS image sensor and an FPGA, and tested the performance of the system in motion. The results showed that the system estimated the actual ego-motion properly.
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