| Co-Investigator(Kenkyū-buntansha) |
中澤 篤志 京都大学, 情報学研究科, 准教授 (20362593)
河村 晃宏 九州大学, システム情報科学研究院, 助教 (60706555)
諸岡 健一 九州大学, システム情報科学研究院, 准教授 (80323806)
辻 徳生 九州大学, システム情報科学研究科(研究院, 助教 (30403588)
岩下 友美 九州大学, システム情報科学研究科(研究院, 准教授 (70467877)
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| Budget Amount *help |
¥40,950,000 (Direct Cost: ¥31,500,000、Indirect Cost: ¥9,450,000)
Fiscal Year 2017: ¥7,800,000 (Direct Cost: ¥6,000,000、Indirect Cost: ¥1,800,000)
Fiscal Year 2016: ¥9,880,000 (Direct Cost: ¥7,600,000、Indirect Cost: ¥2,280,000)
Fiscal Year 2015: ¥11,050,000 (Direct Cost: ¥8,500,000、Indirect Cost: ¥2,550,000)
Fiscal Year 2014: ¥12,220,000 (Direct Cost: ¥9,400,000、Indirect Cost: ¥2,820,000)
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| Outline of Final Research Achievements |
In this research, we developed a 3D scanning system using multiple robots named CPS-VIII, which combines the laser measurement technique using multiple robots called CPS-SLAM and a high-precision 3D laser scanner. This system is able to acquire geometrical big data consisting of trillions of 3D points. The experimental results showed that the accuracy for CPS-VIII is 0.0085 % of the distance traveled, which means the error is 0.0231 m after the robot moved 270.1 m. In addition, we developed large-scale geometrical big data of urban area and surrounding area of Fukuoka city and provided them on the web. Furthermore, we developed space/road categorization techniques for autonomous vehicles and mobile robots, and proposed high precision recognition techniques using convolutional neural networks and the combination of multiple machine learning techniques.
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