| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Outline of Final Research Achievements |
Spatial perception is indispensable to achieve such as self-driving cars and autonomous mobile robots. The purpose of this research is to construct a spatial perception system with high power performance ratio by developing an LSI for the neural network model of motion stereo vision in which spatial perception is performed based on visual motion. The optimal virtual connection schemes were adopted for each stage of the model to implement a huge number of neural connections into a limited chip area. A real-time spatial perception system was also developed for actual environment testing. As a result, the optical flow corresponding to an approaching object was successfully detected in 30 frames per second, and the power performance ratio of more than 100 times higher than a conventional CPU was achieved.
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