基于条件约束的车载点云滤波方法  

Vehicle Point Cloud Wave Filtering Method Based on Conditional Constraints

作　　者：王艳利[1] Wang Yanli(Geophysical Survey Brigade of Henan Coal Geology Bureau)

机构地区：[1]河南省煤田地质局物探测量队,郑州市450009

出　　处：《勘察科学技术》2020年第1期17-20,共4页Site Investigation Science and Technology

摘　　要：车载LiDAR技术是当今测绘领域最前沿科技之一,以其速度快、精度高、成本低、受天气影响小等特点在道路,山区,海岸线等区域测量中具有明显优势。为了提高车载LiDAR技术的滤波应用精度,该文在分析常用的车载激光点云滤波方法基础上,提出一种基于条件约束的车载点云滤波方法。通过实验证明了此滤波方法的可行性。The vehicle LiDAR technology is one of the most cutting-edge technologies in the field of surveying and mapping at present.Because of its characteristics such as fast speed,high precision,low cost and little weather influence,it has obvious advantages in regional survey of roads,mountains and coastlines.In order to improve the filtering application precision of vehicle LiDAR technology,in this paper,based on analysing the commonly used vehicle laser point cloud filtering method,a vehicle point cloud filtering method based on conditional constraints is proposed.And the feasibility of this filtering method is proved by experiments.

关 键 词：LIDAR 车载激光 滤波 点云 

分 类 号：P237[天文地球—摄影测量与遥感]