The supervision, management, and maintenance of power transmission lines are crucial in areas such as intelligent line patrol and lightning protection analysis. Thanks to the application of airborne LiDAR technology in drone inspections, it has become possible to rapidly acquire three-dimensional point cloud data of transmission lines. However, due to hardware limitations and environmental factors, the acquired point cloud data is often incomplete. Therefore, processing the acquired point cloud data before its use is often necessary, making the completion of 3D point cloud data an important aspect of point cloud data processing. This paper addresses the issue of point cloud data completion for transmission line towers by employing the PF-Net model to achieve the completion of laser point cloud data for transmission lines. Experimental results demonstrate that the proposed method exhibits strong competitiveness in point cloud completion performance.

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PF-Net for Power Transmission Tower Point Cloud Completion

  • Minchuan Liao,
  • Lu Qv,
  • Huaifei Chen,
  • Jian Hu,
  • Song Tian,
  • Yuhe Wang,
  • Hansheng Cai

摘要

The supervision, management, and maintenance of power transmission lines are crucial in areas such as intelligent line patrol and lightning protection analysis. Thanks to the application of airborne LiDAR technology in drone inspections, it has become possible to rapidly acquire three-dimensional point cloud data of transmission lines. However, due to hardware limitations and environmental factors, the acquired point cloud data is often incomplete. Therefore, processing the acquired point cloud data before its use is often necessary, making the completion of 3D point cloud data an important aspect of point cloud data processing. This paper addresses the issue of point cloud data completion for transmission line towers by employing the PF-Net model to achieve the completion of laser point cloud data for transmission lines. Experimental results demonstrate that the proposed method exhibits strong competitiveness in point cloud completion performance.