基于视觉感知的无人机自主巡检系统设计与实现

Design and implementation of unmanned aerial vehicle autonomous inspection system based on visual perception

随着无人机技术的迅猛发展,基于视觉感知的无人机自主巡检系统在工业、农业和环境监测等领域展现出巨大的应用前景。文章旨在提出一种基于视觉感知的无人机自主巡检系统,突破传统方法的局限性,实现全光谱自主巡检的创新目标。引入了深度学习和传统传感器融合方法,探索了注意力机制和上下文信息的融合,使得视觉感知更加精细化和全面化,旨在为无人机自主巡检系统的发展贡献新的思路与方法。

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.