激光技术2025，Vol.49Issue(2)：210-215,6.DOI:10.7510/jgjs.issn.1001-3806.2025.02.008
基于遗传算法的激光雷达点云半径滤波
LiDAR point cloud radius filtering based on genetic algorithm
摘要
Abstract
Point cloud noise reduction is crucial to the accuracy of light detection and ranging(LiDAR)imaging systems.In order to reduce the noise caused by receiver,multipath effect,external interference and atmospheric disturbances,a radius filtering method based on genetic algorithm was used for noise reduction,which optimized the key parameters of radius filtering(filtering radius and nearest-neighbor thresholds)by genetic algorithm.Validation in simple and complex scenes show that,the algorithm maintains denoising accuracy and point retention in simple scenes while slightly improving noise recall.The noise recall in complex scenes is improved by about 21%over traditional radius filtering and about 16%over statistical filtering,which is useful for point cloud radius filtering.The radius filtering based on genetic algorithm provides a novel and effective method for LiDAR data processing,which is valuable for improving the quality of LiDAR imaging.关键词
成像系统/降噪/遗传算法/点云Key words
imaging system/noise reduction/genetic algorithm/point cloud分类
计算机与自动化引用本文复制引用
赵哲,周维龙,龙欢,周红,梁登辉,柳骏涛,李小宝..基于遗传算法的激光雷达点云半径滤波[J].激光技术,2025,49(2):210-215,6.基金项目
湖南省教育厅优秀青年基金资助项目(18B305) （18B305）
