In this paper, a new demonstration-based path-planning framework for the visual inspection of large structures using UAVs is proposed. We introduce UPPLIED: UAV Path PLanning for InspEction through Demonstration, which utilizes a demonstrated trajectory to generate a new trajectory to inspect other structures of the same kind. The demonstrated trajectory can inspect specific regions of the structure and the new trajectory generated by UPPLIED inspects similar regions in the other structure. The proposed method generates inspection points from the demonstrated trajectory and uses standardization to translate those inspection points to inspect the new structure. Finally, the position of these inspection points is optimized to refine their view. Numerous experiments were conducted with various structures and the proposed framework was able to generate inspection trajectories of various kinds for different structures based on the demonstration. The trajectories generated match with the demonstrated trajectory in geometry and at the same time inspect the regions inspected by the demonstration trajectory with minimum deviation. The experimental video of the work can be found at https://youtu.be/YqPx-cLkv04.
翻译:本文提出了使用无人驾驶飞行器对大型结构进行视觉检查的新的示范性路径规划框架。我们介绍了UPLIED:UAV Path PLanning用于通过演示进行检查的UAV PLanning,这利用了显示的轨迹来生成新的轨迹来检查同类结构的其他结构。显示的轨迹可以检查结构的具体区域,而由UPLEEED产生的新的轨迹可以检查其他结构中的类似区域。拟议的方法从显示的轨迹中产生检查点,并使用标准化来翻译这些检查点来检查新结构。最后,这些检查点的位置得到优化,以完善它们的观点。对各种结构进行了多次实验,而拟议的框架能够产生基于演示的不同结构的各种检查轨迹。这些轨迹与所显示的几何轨迹相匹配,同时以最小的偏差检查演示轨迹所检查的区域。在https://youtu.be/YqPx-ckv04上可以找到这项工作的实验性视频。</s>