微型电脑应用2025，Vol.41Issue(2)：261-264,4.
视觉辅助的高压线路巡检无人机高精度追踪系统
High-precision Tracking System for High-voltage Line Inspection UAV with Visual Assistance
摘要
Abstract
The study optimizes data captured by unmanned aerial vehicle(UAV)vision systems through image preprocessing techniques such as gray scaling,geometric correction and adjustments to contrast and brightness,thereby enhancing the accura-cy and efficiency of subsequent feature recognition.Specifically for high-voltage line inspection,an improved YOLOv4 algo-rithm and a path aggregation network are employed to enhance the accuracy of target localization and category prediction.Ex-perimental results indicate that these improvements have result in an optimal accuracy rate of 95.1％and an optimal recall rate of 95.3％,respectively.Furthermore,significant reductions in landing deviations are observed during flight tests,which en-hances the precision of inspection.The UAV inspection requires only 12 minutes,significantly improving efficiency and reduc-ing the risks associated with traditional methods,thus achieving a safe,rapid and efficient inspection mode.关键词
YOLOv4/无人机巡检/高压线路/视觉辅助Key words
YOLOv4/UAV inspection/high-voltage line/visual assistance分类
信息技术与安全科学引用本文复制引用
杜家振,赵科,龚淼..视觉辅助的高压线路巡检无人机高精度追踪系统[J].微型电脑应用,2025,41(2):261-264,4.
