Automatic Clearance Anomaly Detection for Transmission Line Corridors Utilizing UAV-Borne LIDAR Data

从无人机 LiDAR 点云中自动提取导线和杆塔，并标记与树木或地面净距不足的位置。步骤包括地形滤波、杆塔检测与档距分割、基于高度直方图的导线点提取、聚类，以及对每根导线进行三维悬链线拟合。分段计算拟合悬链线到附近物体或地形的最小距离，低于安全阈值的位置被标记；在一条 220 kV 线路上检测到了树木侵入。

主要发现

• Clearance measured at decimetre-level accuracy (per abstract)
• Tree encroachment detected on a 220 kV transmission line
• Conductors modelled with a 3D catenary (horizontal line plus hyperbolic cosine)

局限

• Fetched copy covered only the abstract, introduction and part of the method, so reviewScope is abstract
• Validation numbers and processing speed were not in the portion read
• Specific sensor and corridor length not identified in the portion read