Review of Intelligent Path Planning for UAV Inspection of Solar Power Stations
This paper reviews the application of intelligent algorithm in the path planning of UAV PV inspec-tion.The techniques for dealing with complex regions and constraints,precise cell decomposition,wavefront cover-ing,heuristic algorithm,optimization algorithm and semantic segmentation based on deep learning are intro-duced.The advantages and challenges of UAV in PV power station inspection are analyzed,including environmental complexity,sensor limitation,computing resources and battery life.The results show that the technology has high ef-ficiency,precision and safety,and can provide strong support for the healthy development of photovoltaic power sta-tions.
万方数据
维普
