A heuristics-based method for obtaining road surface type information from mobile lidar for use in network-level infrastructure management
A heuristics-based method for obtaining road surface type information from mobile lidar for use in network-level infrastructure management
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DOI：
10.1016/j.measurement.2018.09.015
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发表时间：
2019-01
期刊：
影响因子：
5.6
通讯作者：
Saurav R. Neupane;N. Gharaibeh
中科院分区：
文献类型：
--
作者：
Saurav R. Neupane;N. Gharaibeh
路面类型是大多数资产管理和维护管理模型和分析的关键输入，例如退化预测模型，生命周期成本分析和需求估计。然而，由于使用不同的路面类型和应用不同的表面处理，表面类型在空间和时间上会发生变化。近年来，交通和市政行业已经开始使用移动的激光雷达（光探测和测距）系统来收集道路状况和库存数据，包括表面类型。提出了一种基于激光反射信号强度统计分析的路面类型检测方法。所研究的表面是开级配沥青、密实级配沥青、密封涂层沥青、混凝土和路边植被。该方法将通过自动化从移动的激光雷达测量中获取此类信息的过程来提高表面类型数据的可用性和质量，特别是对于大型道路网络。
Road surface type is a key input to most asset management and maintenance management models and analyses, such as deterioration prediction models, life cycle cost analysis, and need estimates. However, surface type changes in space and time due to the use of varying pavement types and the application of different surface treatments. In recent years, the transportation and municipal industry has begun to use mobile lidar (Light Detection and Ranging) systems to collect roadway condition and inventory data, including surface type. This paper provides a heuristics-based method for detecting road surface type based on statistical analysis of laser reflected signal intensity. The studied surfaces are open graded asphalt, dense graded asphalt, seal coated asphalt, concrete, and roadside vegetation. This method will improve the availability and quality of surface type data, especially for large roadway networks, by automating the process of obtaining this information from mobile lidar measurements.