基于车载激光点云的道路边界提取
首发时间:2015-07-01
摘要:车载激光扫描系统获取的道路环境点云数据量大、目标复杂,难以有效提取出道路的点云。本文通过分析道路边界的形状、强度,以及全局空间分布特征,提出一种适用于城市道路环境的道路边界自动提取方法。该方法分析道路边界在不同尺度下的高程、强度变化特点;然后利用维度特征对多尺度特征道路边界提取结果进行优化;最后对道路边界进行链接和插值,实现道路边界的精细提取。通过Optech公司提供的两份车载激光点云数据的实验结果,证明该方法能够精确提取城市道路环境的道路边界。
关键词: 车载激光点云、道路提取、点云分割
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Automated extraction road boundaries from mobile lidar point clouds
Abstract:The demand for automated 3D road bounderies extraction is driven by the importance of maintaining and updating the fundamental geographic data of road for for various applications that support urban planning, traffic control, emergency response. Mobile laser scanning (MLS) as a promising technology for the rapid 3D mapping of road environment, provides a good means to capture every detail along the road corridor, including road boundaries, road markings, trees, buildings, traffic poles. This paper presents a new automatic method to detect road boundaries in MLS point clouds. The geometry and intensity information are both utilized to extract road boundary points from the raw point clouds. Experiments were undertaken to evaluate the validity of the proposed method based on two test dataset captured by Optech's Lynx Mobile Mapper System. The well performances prove it to be a promising solution for extracting 3D road boundaries from MLS point cloudsthis paper。
Keywords: Mobile Laser Scanning Road extraction Point segmentation
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