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Autonomous UAV Landing on a Moving Vessel: Localization Challenges and Implementation Framework

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Original languageEnglish
Title of host publicationInternet of Things, Smart Spaces, and Next Generation Networks and Systems - 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, Proceedings
EditorsOlga Galinina, Sergey Andreev, Yevgeni Koucheryavy, Sergey Balandin
PublisherSpringer Verlag
Number of pages13
ISBN (Print)9783030308582
Publication statusPublished - 2019
Publication typeA4 Article in a conference publication
EventInternational Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems - St. Petersburg, Russian Federation
Duration: 26 Aug 201928 Aug 2019

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems
CountryRussian Federation
CitySt. Petersburg


The number of Unmanned Aerial Vehicle (UAV) applications is growing tremendously. The most critical ones are operations in use cases such as natural disasters, and search and rescue activities. Many of these operations are performed on water scenarios. A standalone niche covering autonomous UAV operation is thus becoming increasingly important. One of the crucial parts of mentioned operations is a technology capable to land an autonomous UAV on a moving surface vessel. This approach could not be entirely possible without precise UAV positioning. However, conventional strategies that rely on satellite localization may not always be reliable, due to scenario specifics. Therefore, the development of an independent precise landing technology is essential. In this paper, we developed the localization and landing system based on Gauss-Newton’s method, which allows to achieve the required localization accuracy.


  • Automatic landing, Positioning, Simulation, UAV

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