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21 December 2023 A construction progress analysis method for massive architecture point cloud using logical cumulative distribution
Xin Guo, Zi-Jie Nie, Qi Peng, Jun Qiao, Lei Ding, Chu-Ming Yuan, Wen-Long Li
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Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129701G (2023) https://doi.org/10.1117/12.3012313
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China
Abstract
LiDAR (Light Detection and Ranging) is widely used in large-scale architecture measurement because of its high acquisition efficiency. But there are two problems that make it difficult to manage construction projects directly from measurement data: inefficient processing caused by large data size and inaccurate progress analysis caused by occlusion. For these reasons, this paper proposes a two-step approach that consists of data filtering and construction progress analysis. Firstly, to improve the efficiency of processing, a voxel filtering method with variable raster length by adding curvature information is proposed. Secondly, to overcome the occlusion. a construction progress analysis method with cumulative distribution from a projection perspective is performed. To verify this method's effectiveness and reliability, this paper carries out a set of data from a garage. The numerical results show that the proposed indicator can overcome the occlusion phenomenon and represent the distribution of the components efficiently. This paper also compares the degree of data fluctuation between 100% data and 25% data, the difference is less than 0.12 which proves the proposed approach can effectively preserve the key features of the original large-range building data.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Xin Guo, Zi-Jie Nie, Qi Peng, Jun Qiao, Lei Ding, Chu-Ming Yuan, and Wen-Long Li "A construction progress analysis method for massive architecture point cloud using logical cumulative distribution", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129701G (21 December 2023); https://doi.org/10.1117/12.3012313
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KEYWORDS
Point clouds
Tunable filters
Data modeling
Voxels
Eigenvectors
LIDAR
3D modeling
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