Modeling Road Centerlines and Predicting Lengths in 3-D Using LIDAR Point Cloud and Planimetric Road Centerline Data

Hubo Cai; William Rasdorf

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Modeling Road Centerlines and Predicting Lengths in 3-D Using LIDAR Point Cloud and Planimetric Road Centerline Data

机译：使用LIDAR点云和平面道路中心线数据在3-D中建模道路中心线并预测长度

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Transportation is one of a few engineering domains that work with linear objects-roads. Accurate road length information is critical to numerous transportation applications. Road lengths can be obtained via technologies such as ground surveying, global po

机译：运输是使用线性物体（道路）的少数工程领域之一。准确的道路长度信息对于众多运输应用至关重要。道路长度可以通过地面测量，全球定位等技术获得

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《Computer-Aided Civil and Infrastructure Engineering》 |2008年第3期|p.157-173|共17页
作者
Hubo Cai; William Rasdorf;
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Western Michigan University, Department of Civil and Construction Engineering, Parkview Campus, 1903 West Michigan Avenue, Kalamazoo, MI 49008-5316;

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正文语种 eng
中图分类建筑科学;
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专利

1. Road centerline extraction from airborne LiDAR point cloud based on hierarchical fusion and optimization [J] . Hui Zhenyang, Hu Youjian, Jin Shuanggen, ISPRS Journal of Photogrammetry and Remote Sensing . 2016,第auga期

机译：基于层次融合与优化的机载LiDAR点云道路中心线提取
2. Road centerline extraction from airborne LiDAR point cloud based on hierarchical fusion and optimization [J] . 山本　達也写真测量とリモ—トセンシング . 2016,第5期

机译：基于层次融合与优化的机载LiDAR点云道路中心线提取
3. Accuracy Evaluation and Sensitivity Analysis of Estimating 3D Road Centerline Length using Lidar and NED [J] . Hubo Cai, William Rasdorf Photogrammetric Engineering & Remote Sensing: Journal of the American Society of Photogrammetry . 2009,第6期

机译：利用激光雷达和NED估算3D道路中心线长度的准确性评估和敏感性分析
4. Fusion of LIDAR Point Clouds and Large Scale Vector Maps for the Reconstruction of 3-D Road Models [C] . Liang-Chien Chen, Chao-Yuan Lo, Yi-Chen Shao, Asian Conference on Remote Sensing(ACRS2005); Asian Space Conference; 20051107-11; 20051107-11; Ha Noi(VN); Ha Noi(VN) . 2005

机译：LIDAR点云与大规模矢量地图的融合，用于重建3-D道路模型
5. Investigating Safety Effectiveness of Centerline Rumble Strips on Rural Two-Lane Roads in Louisiana with Empirical Bayes Method. [D] . Rahman, Mohammad Ashifur. 2016

机译：用经验贝叶斯方法研究路易斯安那州农村两车道道路中心隆隆带的安全有效性。
6. DeepVesselNet: Vessel Segmentation Centerline Prediction and Bifurcation Detection in 3-D Angiographic Volumes [O] . Giles Tetteh, Velizar Efremov, Nils D. Forkert, 2020

机译：DeepVesselnet：3-D血管造影卷中的血管分割中心线预测和分叉检测
7. Accuracy Evaluation and Sensitivity Analysis of Estimating 3D Road Centerline Length using Lidar and NED [O] . Hubo Cai, William Rasdorf 2009

机译：利用激光雷达估算3D路中心线长度的准确评价与敏感性分析

Modeling Road Centerlines and Predicting Lengths in 3-D Using LIDAR Point Cloud and Planimetric Road Centerline Data

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