A pothole detection method based on 3d point cloud segmentation | |
Du, Ying2,3; Zhou, Zuofeng3; Wu, Qingquan1; Huang, Huimin2,3; Xu, Mingming2,3; Cao, Jianzhong3; Hu, Guoliang2,3 | |
2020 | |
会议日期 | 2020-05-19 |
会议地点 | Osaka, Japan |
关键词 | Pothole Detection Extraction Plane Fitting Point Cloud Segmentation Region Growing |
卷号 | 11519 |
DOI | 10.1117/12.2573124 |
英文摘要 | Road potholes affect comfort, safety, traffic condition and vehicle stability. Accurately detecting these potholes is vital for assessing the degree of pavement distress and developing road maintenance plan accordingly. This paper proposes a simple and effective pothole detection method based on 3D point cloud segmentation. Using binocular stereo vision to acquire 3D point clouds, fitting the pavement plane and then eliminating it from the 3D point clouds of road scene, we could roughly extract the pothole. K-means clustering and region growing algorithms were adopted to extract the potholes precisely. The experimental results demonstrate that our proposed method has a very good segmentation effect on scenes involving plane and target object. © 2020 SPIE. |
产权排序 | 1 |
会议录 | Twelfth International Conference on Digital Image Processing, ICDIP 2020 |
会议录出版者 | SPIE |
语种 | 英语 |
ISSN号 | 0277786X;1996756X |
ISBN号 | 9781510638457 |
WOS记录号 | WOS:000589893500008 |
内容类型 | 会议论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/93608] |
专题 | 西安光学精密机械研究所_动态光学成像研究室 |
作者单位 | 1.Key and Core Technology Innovation, Institute of the Greater Bay Area, Guangzhou; 510670, China 2.University of Chinese Academy of Sciences, Beijing; 100049, China; 3.Xi'An Institute of Optics and Precision Mechanics of CAS, Xinxi Road, Xi'an; 710119, China; |
推荐引用方式 GB/T 7714 | Du, Ying,Zhou, Zuofeng,Wu, Qingquan,et al. A pothole detection method based on 3d point cloud segmentation[C]. 见:. Osaka, Japan. 2020-05-19. |
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