Design and implementation of unmanned aerial vehicle autonomous inspection system based on visual perception
With the rapid development of unmanned aerial vehicle technology,unmanned aerial vehicle autonomous inspection system based on visual perception has shown great application prospects in the fields of industry,agriculture and environmental monitoring.This paper aims to propose an unmanned aerial vehicle autonomous inspection system based on visual perception,which breaks through the limitations of traditional methods and realizes the innovation goal of full spectrum autonomous inspection.The combination of deep learning and traditional sensor fusion methods is introduced,and the integration of attention mechanism and context information is also explored to make visual perception more refined and comprehensive,aiming to contribute new ideas and methods to the development of unmanned aerial vehicle autonomous inspection system.
NETL
NSTL
万方数据
