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Practical Challenges in Landing a UAV on a Dynamic Target
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Unmanned Aerial Vehicles grow more popular by the day and applications for them are crossing boundaries of science and industry, with everything from aerial photography to package delivery to disaster management benefiting from the technology. But before they become commonplace, there are challenges to be solved to make them reliable and safe. The following paper discusses the challenges associated with the precision landing of an Unmanned Aerial Vehicle, including methods for sensing and control and their merits and shortcomings for various applications.
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Cited by 2 Pith papers
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Quantifying Uncertainty in AI Visibility: A Statistical Framework for Generative Search Measurement
Citation visibility in generative search is a stochastic sample estimator; single-run point estimates are misleadingly precise and need bootstrap uncertainty and adequate sample sizes.
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