Surface Area Estimation Using 3D Point Clouds and Delaunay Triangulation

Farhood, Helia; Müller, Samuel; Beheshti, Amin

doi:10.1007/978-3-031-35308-6_3

Lecture Notes in Networks and Systems

2023

DOI: 10.1007/978-3-031-35308-6_3

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Surface Area Estimation Using 3D Point Clouds and Delaunay Triangulation

Helia Farhood

Samuel Müller

Amin Beheshti

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2024

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Cited by 1 publication

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A Novel Multi-LiDAR-Based Point Cloud Stitching Method Based on a Constrained Particle Filter

Ji,

He,

et al. 2024

Electronics

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In coal-fired power plants, coal piles serve as the fundamental management units. Acquiring point clouds of coal piles facilitates the convenient measurement of daily coal consumption and combustion efficiency. When using servo motors to drive Light Detection and Ranging (LiDAR) scanning of large-scale coal piles, the motors are subject to rotational errors due to gravitational effects. As a result, the acquired point clouds often contain significant noise. To address this issue, we proposes a Rapid Point Cloud Stitching–Constrained Particle Filter (RPCS-CPF) method. By introducing random noise to simulate servo motor rotational errors, both local and global point clouds are sequentially subjected to RPCS-CPF operations, resulting in smooth and continuous coal pile point clouds. Moreover, this paper presents a coal pile boundary detection method based on gradient region growing clustering. Experimental results demonstrate that our proposed RPCS-CPF method can generate smooth and continuous coal pile point clouds, even in the presence of servo motor rotational errors.

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A Novel Multi-LiDAR-Based Point Cloud Stitching Method Based on a Constrained Particle Filter

Ji,

He,

et al. 2024

Electronics

View full text Add to dashboard Cite

show abstract

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Surface Area Estimation Using 3D Point Clouds and Delaunay Triangulation

Cited by 1 publication

References 18 publications

A Novel Multi-LiDAR-Based Point Cloud Stitching Method Based on a Constrained Particle Filter

A Novel Multi-LiDAR-Based Point Cloud Stitching Method Based on a Constrained Particle Filter

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