A coarse aggregate gradation detection method based on 3D point cloud

Hyperbolic regularization-PointNet++: Automated three-dimensional soil particle roundness classification

J Xi, J Zheng, L Gao, D Wang, J Jiang, S Li, J Song - Powder Technology, 2024 - Elsevier
Particle roundness significantly affects the macro-mechanics of granular soils. Nevertheless,
current three-dimensional (3D) computational geometry (CG)-based methods for soil particle …
被引用次数：1 相关文章
[PDF] iop.org

Coarse Aggregate Shape Classification Method Based on Per-Optuna-LightGBM Model

X Feng, Z Sun, Z Xing, Y Wu… - Journal of Physics …, 2023 - iopscience.iop.org
To improve the detection level of aggregate shape for automated road use, Per-Optuna-
LightGBM model for aggregate shape classification is proposed. Collect aggregate images …
被引用次数：1 相关文章 所有 3 个版本
[PDF] researchsquare.com

Three-dimensional sand particle shape characterization by PointConv-Transformer deep learning

J Xi, J Zheng, L Gao, D Wang, J Jiang, S Chen - 2024 - researchsquare.com
Angularity and sphericity of sand particles significantly influence the shear strength,
compressibility, void structure, and deformation behavior of soils. However, current …
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Coarse Aggregate Particle Size Classification Based on 3d Multi-View Method

A Tian, W Li, M Yang, J Ding, Y Weng, L Pei - Available at SSRN 4511549 - papers.ssrn.com
The classification accuracy of aggregate gears has an important impact on the gradation of
aggregates, which can seriously affect asphalt pavement performance. This paper is a study …
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An Iron Ore Weight Measurement Method Based on 3d Point Cloud

F Li, X Liu, Y Yin, C Li - Available at SSRN 4940092 - papers.ssrn.com
This paper presents a novel method for measuring the weight distribution of iron ore using
3D point cloud data, aimed at enhancing the efficiency and accuracy of this critical …
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