| Road Surface Modeling and Representation from Point Cloud Based on Fuzzy Clustering |
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| 作者姓名： | ZHANG Yi YAN Li |
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| 作者单位： | School of Geodesy and Geomatics Wuhan University，129 Luoyu Road Wuhan 430079 China |
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| 基金项目： | Supported by the National Natural Science Foundation of China （No.40471089） and the Key Laboratory of Geo-informatics of State Bureau of Surveying and Mapping. |
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| 摘 要： | A scheme for an automatic road surface modeling from a noisy point cloud is presented. The normal vectors of the point cloud are estimated by distance-weighted fitting of local plane. Then, an automati...
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| 关 键 词： | 模糊聚类 道路表面点云 建模方法 法向矢量 |
| 文章编号： | 1009-5020（2007）04-276-06 |
| 收稿时间： | 2007-09-13 |
Road surface modeling and representation from point cloud based on fuzzy clustering |
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| ZHANG Yi YAN Li.Road Surface Modeling and Representation from Point Cloud Based on Fuzzy Clustering[J].Geo-Spatial Information Science,2007,10(4):276-281. |
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| Authors: | Zhang Yi Yan Li |
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| Institution: | School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China |
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| Abstract: | A scheme for an automatic road surface modeling from a noisy point cloud is presented. The normal vectors of the point cloud are estimated by distance-weighted fitting of local plane. Then, an auto-matic recognition of the road surface from noise is performed based on the fuzzy clustering of normal vectors, with which the mean value is calculated and the projecting plane of point cloud is created to obtain the geometric model accordingly. Based on fuzzy clustering of the intensity attributed to each point, different objects on the road surface are assigned different colors for representing abundant appearances. This un-supervised method is demonstrated in the experiment and shows great effectiveness in reconstructing and rendering better road surface. |
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| Keywords: | surface modeling point cloud distance-weighted fitting fuzzy clustering normal vectors intensity |
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