Paper
12 June 2020 Accurate volume measurement of road potholes based on 3D point clouds
Author Affiliations +
Proceedings Volume 11519, Twelfth International Conference on Digital Image Processing (ICDIP 2020); 115191V (2020) https://doi.org/10.1117/12.2573129
Event: Twelfth International Conference on Digital Image Processing, 2020, Osaka, Japan
Abstract
In the daily driving process, road potholes pose a great threat to traffic safety. However, the actual road potholes are often irregular and the background is complex. So, it is difficult to accurately measure the volume of potholes. In this paper, a method for measuring the volume of road potholes based on three-dimensional point clouds is presented. First, binocular vision is used to obtain 3D point cloud data of the pothole, and the segmented pothole point clouds are projected onto the coordinate plane established by the road surface. Then, we triangulate projection points on the coordinate plane. Finally, restore these points to the true elevation points to generate triangular prism, and calculate the volume of a single triangular prism one by one. The accuracy and effectiveness of this algorithm are verified by experiments.
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Mingming Xu, Zuofeng Zhou, Qingquan Wu, Huimin Huang, Ying Du, Jianzhong Cao, and Guoliang Hu "Accurate volume measurement of road potholes based on 3D point clouds", Proc. SPIE 11519, Twelfth International Conference on Digital Image Processing (ICDIP 2020), 115191V (12 June 2020); https://doi.org/10.1117/12.2573129
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KEYWORDS
Clouds

Roads

Prisms

3D acquisition

3D metrology

Solids

3D modeling

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