车载激光扫描数据中高速公路路面点滤波

刘如飞; 田茂义; 许君一

doi:10.13203/j.whugis20130450

车载激光扫描数据中高速公路路面点滤波

¹山东科技大学测绘科学与工程学院,山东青岛,266590

基金项目: 现代城市测绘国家测绘地理信息局重点实验室开放课题资助项目(20111204W)；国家科技支撑计划资助项目(2012BAB16B01)；海洋公益性行业科研专项经费资助项目(201305034-1)；山东科技大学研究生创新基金资助项目(YC130103)

详细信息

作者简介:
刘如飞,博士生,研究方向为车载激光扫描数据处理、航摄图像处理、3S技术集成与应用。

通讯作者:
田茂义,博士,副教授

中图分类号: P237.3
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出版历程
- 收稿日期: 2013-08-29
- 修回日期: 2015-06-04
- 发布日期: 2015-06-04

Expressway Road Surface Point Filtering for Mobile Laser Scanning Data

¹College of Geomatics,Shandong University of Science and Technology,Qingdao 266590,China

Funds: The Key Laboratory for Urban Geomatics of National Administration of Surveying,Mapping and Geoinformation,No.20111204W;the National Key Technology Research and Development Program of the Ministry of Science and Technology of China,No.2012BAB16B01;the Marine Research Special Funds for Public Welfare Projects,No.201305034-1;Graduate Innovation Fund Projectof Shandong University of Science and Technology,No.YC130103.

More Information

Corresponding author:
TIAN Maoyi,PhD,associate professor.

摘要

摘要: 提出了一种从车载激光扫描数据中自动提取路面的方法。通过分析车载激光扫描点云的空间特征,提出运用近似平面约束法、有序最小二乘坡度估计法和多尺度窗口迭代分析法进行初始路面种子点提取;然后基于局部坡度滤波方法提取所有的路面点;最后选择两组实际点云数据进行实验。结果表明,该方法能快速准确地提取高速公路路面点云,实验数据的提取准确率为95.74%,完整率为98.11%。
- 车载激光扫描 /
- 路面点滤波 /
- 平面约束 /
- 窗口迭代分析
Abstract: An automatic extraction method of expressway road surface from mobile laser scanning(MLS)data is presented.Through an analysis of the spatial characteristics of expressway MLS pointcloud data,an approximate plane constraint(APC)method,an ordering least square method of slopeestimation and multi-scale window iterative analysis(MWIA)method were developed to extract initialground seed points on the grid,and then all road surface points are extracted from the original pointsbased on local slope.Finally,two groups of actual point cloud data were selected for an experiment,the results show that the proposed method can quickly and accurately extract a road surface from MLSdata.The correctness of our road extraction results was 95.74%and completeness was 98.11%.
- mobile laser scanning /
- road surface point filtering /
- plane constraint /
- multi-scale windowiterative analysis