Pavement Crack Detection from Mobile Laser Scanning Point Clouds Using a Time Grid
文献类型：期刊论文
| 作者 | Zhong, Mianqing2; Sui, Lichun2; Wang, Zhihua1; Hu, Dongming2 |
| 刊名 | SENSORS
 |
| 出版日期 | 2020-08-01 |
| 卷号 | 20期号:15页码:20 |
| 关键词 | mobile laser scanning pavement cracks crack shape parameters |
| DOI | 10.3390/s20154198 |
| 通讯作者 | Sui, Lichun(sui1011@chd.edu.cn) |
| 英文摘要 | This paper presents a novel algorithm for detecting pavement cracks from mobile laser scanning (MLS) data. The algorithm losslessly transforms MLS data into a regular grid structure to adopt the proven image-based methods of crack extraction. To address the problem of lacking topology, this study assigns a two-dimensional index for each laser point depending on its scanning angle or acquisition time. Next, crack candidates are identified by integrating the differential intensity and height changes from their neighbors. Then, morphology filtering, a thinning algorithm, and the Freeman codes serve for the extraction of the edge and skeleton of the crack curves. Further than the other studies, this work quantitatively evaluates crack shape parameters: crack direction, width, length, and area, from the extracted crack points. TheF1 scores of the quantity of the transverse, longitudinal, and oblique cracks correctly extracted from the test data reached 96.55%, 87.09%, and 81.48%, respectively. In addition, the average accuracy of the crack width and length exceeded 0.812 and 0.897. Experimental results demonstrate that the proposed approach is robust for detecting pavement cracks in a complex road surface status. The proposed method is also promising in serving the extraction of other on-road objects. |
| WOS关键词 | CONVOLUTIONAL NEURAL-NETWORKS ; ASPHALT PAVEMENT ; EXTRACTION |
| 资助项目 | National Natural Science Foundation of China[41890854] ; National Natural Science Foundation of China[41372330] ; Transportation Research Project of Shaanxi Provincial Transport Department (SPTD)[16-01K] ; Transportation Research Project of Shaanxi Provincial Transport Department (SPTD)[18-06K] ; Fundamental Research Funds for the Central Universities[CHD 300102269304] |
| WOS研究方向 | Chemistry ; Engineering ; Instruments & Instrumentation |
| 语种 | 英语 |
| WOS记录号 | WOS:000567245600001 |
| 出版者 | MDPI |
| 资助机构 | National Natural Science Foundation of China ; Transportation Research Project of Shaanxi Provincial Transport Department (SPTD) ; Fundamental Research Funds for the Central Universities |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/156831]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Sui, Lichun |
| 作者单位 | 1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Changan Univ, Coll Geol Engn & Geomat, Xian 710054, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhong, Mianqing,Sui, Lichun,Wang, Zhihua,et al. Pavement Crack Detection from Mobile Laser Scanning Point Clouds Using a Time Grid[J]. SENSORS,2020,20(15):20. |
| APA | Zhong, Mianqing,Sui, Lichun,Wang, Zhihua,&Hu, Dongming.(2020).Pavement Crack Detection from Mobile Laser Scanning Point Clouds Using a Time Grid.SENSORS,20(15),20. |
| MLA | Zhong, Mianqing,et al."Pavement Crack Detection from Mobile Laser Scanning Point Clouds Using a Time Grid".SENSORS 20.15(2020):20. |
入库方式： OAI收割
来源：地理科学与资源研究所
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