点云
维数(图论)
计算机科学
点(几何)
激光雷达
云计算
人工智能
计算机视觉
遥感
数学
地理
几何学
纯数学
操作系统
作者
Chunxiao Wang,Jingguo Zhu,Tianpeng Xie,Qulin Lai
摘要
An online and automated measurement approach based on LiDAR point cloud data for luggage dimensions is proposed, in order to enhance real-time precision and accuracy in luggage dimension measurements. This method is applicable to stationary luggage at airports and stations. Firstly, luggage point clouds are rapidly extracted based on scene information. Secondly, luggage types are determined based on luggage characteristics, which include regular and irregular luggage. Finally, luggage dimensions are computed to obtain the length, width, and height of the luggage. The experiment demonstrates that this method can achieve efficient measurement of luggage dimensions for various shapes, which presents certain practical value.
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