Research on Point Cloud Power Line Segmentation and fitting algorithm

Power line point cloud segmentation is one of the important tasks of airborne lidar (LiDAR) power patrol. In this paper, it is difficult to segment power line point clouds in the absence of power line point clouds, and the existing algorithm models are not comprehensive. A power line point cloud segmentation algorithm based on two models is proposed. Laser point cloud technology is widely used in transmission line operation and maintenance, and some power lines are often missing in laser point cloud data, which leads to the inaccuracy of traditional power line segmentation algorithms. In addition, at present, the academic circle mainly studies the non-coincident model of XOY plane projection of power line point cloud, but lacks the research on the coincident model of XOY plane projection. In this paper, two power line segmentation algorithms are proposed for two power line models (XOY plane projection is not coincident, XOY plane projection is coincident, hereinafter referred to as model 1 and model 2). Through practical engineering experiments and applications, the robustness and applicability of the proposed algorithm are verified, as well as the insensitivity to the lack of power line point clouds.