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Visual guidance for fixed-wing unmanned aerial vehicles using feature tracking : application to power line inspection

机译:使用特征跟踪的固定翼无人机的视觉指导:在电力线检查中的应用

摘要

This thesis presents novel vision based control solutions that enable fixed-wing Unmanned Aerial Vehicles to perform tasks of inspection over infrastructure including power lines, pipe lines and roads. This is achieved through the development of techniques that combine visual servoing with alternate manoeuvres that assist the UAV in both following and observing the feature from a downward facing camera. Control designs are developed through techniques of Image Based Visual Servoing to utilise sideslip through Skid-to-Turn and Forward-Slip manoeuvres. This allows the UAV to simultaneously track and collect data over the length of infrastructure, including straight segments and the transition where these meet.
机译:本文提出了一种新颖的基于视觉的控制解决方案,该解决方案使固定翼无人飞行器能够对包括电力线,管道和道路在内的基础设施执行检查任务。这是通过开发将视觉伺服与备用操纵相结合的技术来实现的,这些操纵有助于无人机跟随并从面向下的摄像头观察特征。通过基于图像的视觉伺服技术开发控制设计,以通过侧滑和转弯操纵和前滑操纵来利用侧滑。这使无人机能够在整个基础设施的长度范围内同时跟踪和收集数据,包括直线路段和这些路段相交处的过渡。

著录项

  • 作者

    Mills Steven John;

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  • 年度 2013
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