Semantic metric 3D reconstruction for concrete inspection

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	Semantic metric 3D reconstruction for concrete inspection
	Yang L(杨亮)1,2; Li, Bing 1; Li, Wei ; Jiang, Biao 1
	2018
会议日期	June 18-22, 2018
会议地点	Salt Lake City, UT, United states
页码	1624-1632
英文摘要	In this paper, we exploit the concrete surface flaw inspection through the fusion of visual positioning and semantic segmentation approach. The fused inspection result is represented by a 3D metric map with a spatial area, width, and depth information, which shows the advantage over general inspection in image space without metric info. We also relieve the human labor with an automatic labeling approach. The system is composed of three hybrid parts: visual positioning to enable pose association, crack/spalling inspection using a deep neural network (pixel level), and a 3D random field filter for fusion to achieve a global 3D metric map. To improve the infrastructure inspection, we released a new data set for concrete crack and spalling segmentation which is built on CSSC dataset [27]. To leverage the effectiveness of the large-scale SLAM aided semantic inspection, we performed three field tests and one baseline test. Experimental results show that our proposed approach significantly improves the capability of 3D metric concrete inspection via deploying visual SLAM. Furthermore, we achieve an 82.4% MaxF1 score for crack detection and 88.64% MaxF1 score for spalling detection on the relabeled dataset.
产权排序	1
会议录	Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2018
会议录出版者	IEEE Computer Society
会议录出版地	New York
语种	英语
ISSN号	2160-7508
ISBN号	978-1-5386-6100-0
WOS记录号	WOS:000457636800197
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/24161]
专题	沈阳自动化研究所_空间自动化技术研究室
作者单位	1.Hostos Community College, United States 2.State Key Laboratory of Robotics, Shenyang Institute of Automation, UCAS, China; CCNY Robotics Lab, City College of New York, United States; Amazon AWS AI, United States;
推荐引用方式 GB/T 7714	Yang L,Li, Bing,Li, Wei,et al. Semantic metric 3D reconstruction for concrete inspection[C]. 见:. Salt Lake City, UT, United states. June 18-22, 2018.