| 基于移动激光扫描的隧道轮廓变化识别与提取 |
| 投稿时间：2025-03-24 修订日期：2025-04-09 点此下载全文 |
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| 基金项目:国家自然科学基金项目（面上项目，重点项目，重大项目） |
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| 中文摘要:实现复杂形状隧道轮廓变化分界点的精准定位与各分段轮廓提取，可为隧道形变监测、点云正射影像图生成及既有隧道模型重建提供有力支持。基于移动激光扫描采集的高精度隧道点云数据，先对原始断面点云进行提取与预处理，再凭借轮廓特征点邻域密度特征识别轮廓变化，最后结合里程定位法和边界提取算法，完成隧道分段及其轮廓提取。使用某地铁隧道与公路隧道实测数据开展实验，验证了该方法的可行性。相比现有研究，本文方法摆脱了对隧道中轴线的高度依赖，能自主精准识别轮廓变化，处理效率有效提升，为复杂形状隧道分段与轮廓提取相关工程应用提供了高效创新的解决方案，对高性能激光扫描技术的应用优化具有一定的参考价值。 |
| 中文关键词:移动激光扫描 激光点云 变化识别 轮廓提取 |
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| Identification and extraction of tunnel contour changes based on mobile laser scanning |
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| Abstract:Accurate positioning of boundary points for complex shaped tunnel contour changes and extraction of segmented contours can provide strong support for tunnel deformation monitoring, point cloud orthophoto generation, and reconstruction of existing tunnel models. Based on high-precision tunnel point cloud data collected by mobile laser scanning, the original section point cloud is first extracted and preprocessed. Then, contour changes are identified by using contour feature point neighborhood density features. Finally, tunnel segmentation and contour extraction are completed by combining mileage positioning method and boundary extraction algorithm. The feasibility of this method was verified through experiments using measured data from a subway tunnel and a highway tunnel. Compared with existing research, the method proposed in this paper eliminates the high dependence on the tunnel axis and can autonomously and accurately identify contour changes, effectively improving processing efficiency. It provides an efficient and innovative solution for engineering applications related to complex shape tunnel segmentation and contour extraction, and has certain reference value for optimizing the application of high-performance laser scanning technology. |
| keywords:mobile laser scanning, laser point cloud, change recognition, contour extraction |
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