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<p>We propose a multi-line laser simulation system utilizing computer graphics and physical simulation to generate virtual multi-line laser datasets. Our framework provides key physical properties of the scene, including camera parameters, depth values, surface normals, and the actual two-dimensional (2D) and three-dimensional (3D) coordinates of the laser stripe centers for each rendered image. Beyond, we construct a virtual line laser scanning image dataset with a complex background by simulating interactions between lasers and object surfaces with the Monte Carlo method. With the proposed framework and dataset, a multi-line laser extraction algorithm based on a robust sorting algorithm is proposed and tested, which utilizes distance-based error analysis, connected component labeling, and iterative optimization refinement techniques. Both simulation and actual experiments show that our method outperforms the other state-of-the-art multi-line laser stripe center extraction methods. The proposed framework can be applied to different types of laser scanning systems in the future.</p>

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A multi-line laser scanning system design and evaluation framework based on physical simulation

  • 期刊论文

  • 发表日期：

    2026年4月27日

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  • Yunpeng Li,
  • Yifan Chen,
  • Limei Song,
  • Hongyi Wang,
  • Hongmin Wang,
  • Baozhen Ge

摘要

We propose a multi-line laser simulation system utilizing computer graphics and physical simulation to generate virtual multi-line laser datasets. Our framework provides key physical properties of the scene, including camera parameters, depth values, surface normals, and the actual two-dimensional (2D) and three-dimensional (3D) coordinates of the laser stripe centers for each rendered image. Beyond, we construct a virtual line laser scanning image dataset with a complex background by simulating interactions between lasers and object surfaces with the Monte Carlo method. With the proposed framework and dataset, a multi-line laser extraction algorithm based on a robust sorting algorithm is proposed and tested, which utilizes distance-based error analysis, connected component labeling, and iterative optimization refinement techniques. Both simulation and actual experiments show that our method outperforms the other state-of-the-art multi-line laser stripe center extraction methods. The proposed framework can be applied to different types of laser scanning systems in the future.