Automated Extraction of Road Markings from Mobile Lidar Point Clouds
Automated Extraction of Road Markings from Mobile Lidar Point Clouds
复制标题
从移动激光雷达点云中自动提取道路标记
DOI：
10.14358/pers.78.4.331
复制
发表时间：
2012-04-01
影响因子：
1.3
通讯作者：
Li, Jonathan
中科院分区：
文献类型：
--
作者：
Yang, Bisheng;Fang, Lina;Li, Jonathan
在激光点的隐式信息中，激光点的反射强度与道路材料的性质密切相关，有助于道路标线的检测。提出了一种从移动激光雷达点云中自动提取道路标线的新方法。首先采用插值方法生成点云的地理参考特征图像，有助于隔离路面上的点；然后，用一种算法根据反射强度对一定范围内的点进行分离。对分离点进行进一步分割，基于高度阈值去除非道路点。最后，利用道路标记的语义知识从分割点中提取道路标记的轮廓。结果表明，我们的方法非常有希望从陆基移动激光雷达系统（Optech Lynx mobile Mapper）收集的激光雷达点云中自动提取道路标记。
Among implicit information of laser points, the strength of reflection of laser points is closely related to the property of road materials which helps detecting road markings. This paper presents a novel approach to automatically extracting road markings from mobile lidar point clouds. An interpolation method is first used to generate a georeferenced feature image of the point cloud, which helps to isolate the points of road surfaces. Then, an algorithm is used to separate these points within a range according to their strength of reflection. The separated points are further segmented to remove non-road points based on height threshold. Finally, the outlines of road markings are extracted from the segmented points using the semantic knowledge of road markings. The results demonstrated that our method was very promising for automatic extraction of road markings from lidar point clouds collected by a land-based mobile lidar system, an Optech Lynx Mobile Mapper.