米晓新, 杨必胜, 董震. 车载激光点云道路场景可视域快速计算与应用[J]. 武汉大学学报 ( 信息科学版), 2020, 45(2): 258-264. DOI: 10.13203/j.whugis20180380
引用本文: 米晓新, 杨必胜, 董震. 车载激光点云道路场景可视域快速计算与应用[J]. 武汉大学学报 ( 信息科学版), 2020, 45(2): 258-264. DOI: 10.13203/j.whugis20180380
MI Xiaoxin, YANG Bisheng, DONG Zhen. Fast Visibility Analysis and Application in Road Environment with Mobile Laser Scanning Data[J]. Geomatics and Information Science of Wuhan University, 2020, 45(2): 258-264. DOI: 10.13203/j.whugis20180380
Citation: MI Xiaoxin, YANG Bisheng, DONG Zhen. Fast Visibility Analysis and Application in Road Environment with Mobile Laser Scanning Data[J]. Geomatics and Information Science of Wuhan University, 2020, 45(2): 258-264. DOI: 10.13203/j.whugis20180380

车载激光点云道路场景可视域快速计算与应用

Fast Visibility Analysis and Application in Road Environment with Mobile Laser Scanning Data

  • 摘要: 传统的可视域分析方法需借助高精度三维模型,而目前三维模型构建的自动化水平、精度和完整度等很难满足道路环境可视域分析的要求。车载激光扫描系统可以高速度、高密度、高精度地获取道路及两侧地物的位置和属性信息(如反射强度、回波波形等),为大规模道路场景可视域计算与分析提供了一种全新的技术手段。借助深度缓存算法,提出了一种基于三维激光点云数据的可视域快速、稳健计算方法。该方法在典型道路地物要素提取的基础上,动态构建视场空间索引,实现了道路场景中任意位置可视域的快速、稳健估计,可广泛应用于交通标志牌遮挡分析、路灯有效照明区域计算和建筑物可视绿地面积估计等,为基础设施科学安置及运行健康状况监测、城市形态分析与城市规划等提供科学的辅助决策。

     

    Abstract: Visibility analysis is one of the most important parts of the spatial analysis in geographic information system, which is calculated based on the measurable models. However, it is hard to construct accurate models for the huge number of objects automatically because there is a mess of various objects in the urban area. Mobile laser scanning can acquire accurate three-dimensional information together with other physical properties (such as reflected intensity, echo waveform, etc.) on road and along roadside flexibly and efficiently, which provides an alternative data source for visibility analysis of the large-scale road scenes. This paper proposes a fast and robust depth-buffering method to analyze visibility based on point cloud data in road scenes efficiently and robustly. To achieve the goal, an adaptive spatial index construction strategy is firstly introduced based on the viewpoint and the corresponding field of view. Then the viewshed between the viewpoint and the field of view is analyzed efficiently using the depth-buffering method. The visualizing degree from the road to the traffic sign and the illuminated region on road of the street lamps are estimated respectively to verify the feasibility as well as the flexibility of the proposed method. The performance of the experiments shows that the proposed method can assist in monitoring the infrastructure health and decision support for the municipal planning department.

     

/

返回文章
返回