Transfer learning on convolutional activation feature as applied to a building quality assessment robot
We propose an automated postconstruction quality assessment robot system for crack, hollowness, and finishing defects in light of a need to speed up the inspection work, a more reliable inspection report, as well as an objective through fully automated inspection. Such an autonomous inspection syste...
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Main Authors: | , , , , , |
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其他作者: | |
語言: | English |
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2018
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在線閱讀: | https://hdl.handle.net/10356/88642 http://hdl.handle.net/10220/45865 |
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機構: | Nanyang Technological University |
語言: | English |