A method for measuring the structure volume of large objects based on LiDAR

Yongdong Zhang; Ziwei Wang; Hu Ye; Taiqin Huang; Xiaolong Wu; Jiaqi Zhai

doi:10.1117/12.3035516

16 August 2024 A method for measuring the structure volume of large objects based on LiDAR

Yongdong Zhang, Ziwei Wang, Hu Ye, Taiqin Huang, Xiaolong Wu, Jiaqi Zhai

Proceedings Volume 13230, Third International Conference on Machine Vision, Automatic Identification, and Detection (MVAID 2024); 132300X (2024) https://doi.org/10.1117/12.3035516
Event: Third International Conference on Machine Vision, Automatic Identification and Detection, 2024, Kunming, China

Abstract

Volume is the key representation of object geometry and shape. In engineering practice, it is frequently necessary to measure the volume of large objects. The volume of such objects is usually more than a few hundreds and even tens of thousands of cubic meters. The traditional method of manual measurement and estimation using shape segmentation not only has huge engineering amount, but also has low efficiency. In recent years, the measurement technology based on LiDAR and binocular vision camera has become more and more mature. Using LiDAR to measure the volume of large objects has become one of the feasible methods. Aiming at the large ellipsoidal structures often encountered in engineering practice, this paper presents a method of object volume measurement based on LiDAR. This method can measure the volume of objects over 10000 of cubic meters. At the same time, the feasibility of the method is proved by applying the method to engineering practice.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yongdong Zhang, Ziwei Wang, Hu Ye, Taiqin Huang, Xiaolong Wu, and Jiaqi Zhai "A method for measuring the structure volume of large objects based on LiDAR", Proc. SPIE 13230, Third International Conference on Machine Vision, Automatic Identification, and Detection (MVAID 2024), 132300X (16 August 2024); https://doi.org/10.1117/12.3035516

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