| Budget Amount *help |
¥19,240,000 (Direct Cost: ¥14,800,000、Indirect Cost: ¥4,440,000)
Fiscal Year 2014: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2013: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2012: ¥14,040,000 (Direct Cost: ¥10,800,000、Indirect Cost: ¥3,240,000)
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| Outline of Final Research Achievements |
The purpose of this research is to develop advanced and fully-automated software for object recognition and modeling from massive laser scanned point clouds captured from large-scale equipment with current status to automatically construct “as-built equipment model” where each object in the equipment is semantically annotated. The software also aims for updating the as-built model continuously over time with minimum effort of additional laser scanning operation over long term, and for proposing a set of common and invariant primitive point clouds processing algorithms to support the recognition and modeling chemical plants, large-buildings, electric power plants etc.
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