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Practical Challenges in Landing a UAV on a Dynamic Target

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arxiv 2209.14465 v1 pith:ZKCVFCUO submitted 2022-09-28 cs.RO

classification cs.RO
keywords aerialchallengesapplicationslandingthemunmannedassociatedbecome
verification ladder T0 review T1 audit T2 compute T3 formal
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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

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Fly, Track, Land: Infrastructure-less Magnetic Localization for Heterogeneous UAV-UGV Teaming

    cs.RO 2026-03 conditional novelty 6.0 of 10

    An active magnetic beacon system on a moving quadruped lets a nano-drone estimate its 3D position onboard and land with about 5-11 cm error, without GNSS, cameras, or external infrastructure.

  2. Quantifying Uncertainty in AI Visibility: A Statistical Framework for Generative Search Measurement

    stat.AP 2026-03 unverdicted novelty 4.0 of 10

    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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