不同滤波方法对二维激光雷达点云数据处理的影响  

Influence of Different Filter Methods on 2D Laser Radar Point Cloud Data Processing

作　　者：谢翔 杜年春 沈向前 XIE Xiang;DU Nian-chun;SHEN Xiang-qian(China Nonferrous Metal Changsha Survey and Design Institute Co.,LTD,Changsha Hunan 410011,China)

机构地区：[1]中国有色金属长沙勘察设计研究院有限公司,湖南长沙410011

出　　处：《地矿测绘》2021年第1期13-16,共4页Surveying and Mapping of Geology and Mineral Resources

摘　　要：针对二维激光雷达数据存在噪声误差的问题,分别采取了线性最小二乘滤波、移动平均滤波、中值滤波、Savitzky-Golay(SG)滤波等方法对点云数据进行了平滑处理。利用实验数据对采用的方法进行了分析,结果表明所采用滤波方法都能够有效地对数据中的噪声误差进行过滤,但需要根据实际情况选用合适的滤波方式以获得最好的滤波效果。For the problem of noise error of 2D laser radar point cloud data,Linear Least Square Filter,Moving Average Filter,Median Filter and Savitzky-Golay Filter are used to smooth cloud point data.In this paper,the experimental data are used to analyze these filtering methods,and the results show that these methods can effectively filter the noise error in test data,but it is necessary to select an appropriate filtering method according to the actual situation to obtain the best filtering results.

关 键 词：二维激光雷达 噪声误差 滤波 平滑 

分 类 号：P228[天文地球—大地测量学与测量工程]