首页|2D激光雷达室内平面数据预处理方法研究

2D激光雷达室内平面数据预处理方法研究

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采用2D激光雷达对建筑房间进行扫描测量时,激光雷达点云将会受到噪声、离群跃变点和数据缺失等因素的干扰,影响点云数据的处理速度。为提高2D激光雷达点云数据处理速度和建筑房间平面绘制精度,采用差值滤波法、最小二乘法等算法以及动态阈值特征提取法实现了 2D激光雷达点云数据的预处理。通过试验对点云数据预处理方法进行了验证,结果表明,2D激光雷达可以快速获取门、窗、梁、柱的尺寸信息,能够显著提升建筑空间的测量精度和平面图绘制效率。
Research on 2D Laser Radar Indoor Planar Data Preprocessing Methods
s:When 2D LiDAR is used to scan and measure the building room,the LiDAR point cloud will be interfered by noise,outlier jump points and missing data,which will affect the processing speed of the point cloud data.In order to improve the processing speed of 2D LiDAR point cloud data and the accuracy of building room planar drawing,the algorithms such as difference filtering method,least squares method and dynamic threshold feature extraction method are used to realize the preprocessing of 2D LiDAR point cloud data.The point cloud data preprocessing method is verified through experiments,and the results show that 2D LiDAR can quickly obtain the dimensional information of doors,windows,beams,and columns,and can significantly improve the measurement accuracy of architectural space and the efficiency of planar drawing.

laser point clouddiscretefilteringdifferenceplanar drawing

赖振彬、李昱江、李洋、帅海乐、杨垣

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贵州中建建筑科研设计院有限公司,贵州 贵阳 550006

激光点云 离散 滤波 差值 平面绘制

2024

现代信息科技
广东省电子学会

现代信息科技

ISSN:2096-4706
年,卷(期):2024.8(13)