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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