Publication detail

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

CASTILLO, C. PYATTAEV, A. VILLA, J. MAŠEK, P. MOLTCHANOV, D. OMETOV, A.

Original Title

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

English Title

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

Type

conference paper

Language

en

Original Abstract

The number of Unmanned Aerial Vehicle (UAV) applications is growing tremendously. The most critical ones are operations in use cases like 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.

English abstract

The number of Unmanned Aerial Vehicle (UAV) applications is growing tremendously. The most critical ones are operations in use cases like 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.

Keywords

UAV; Positioning; Automatic Landing; Simulation

Released

28.08.2019

ISBN

978-3-030-30858-2

Book

19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, St. Petersburg, Russia, August 26–28, 2019, Proceedings

Pages from

342

Pages to

354

Pages count

13

URL

Documents

BibTex


@inproceedings{BUT158702,
  author="Carlos {Castillo} and Alexander {Pyattaev} and Jose {Villa} and Pavel {Mašek} and Dmitri {Moltchanov} and Aleksandr {Ometov}",
  title="Autonomous UAV Landing on a Moving Vessel: Localization Challenges and Implementation Framework",
  annote="The number of Unmanned Aerial Vehicle (UAV) applications is growing tremendously. The most critical ones are operations in use cases like 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.",
  booktitle="19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, St. Petersburg, Russia, August 26–28, 2019, Proceedings",
  chapter="158702",
  doi="10.1007/978-3-030-30859-9_29",
  howpublished="online",
  year="2019",
  month="august",
  pages="342--354",
  type="conference paper"
}