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A novel cooperative platform design for coupled USV-UAV systems
School of Naval Architecture Engineering, Dalian University of Technology, Dalian, 116024, China.
School of Navigation, Hubei Key Laboratory of Inland Shipping Technology, Wuhan University of Technology, Wuhan, 430063, China.
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-2763-8085
National Engineering Research Center for Water Transport Safety, Wuhan, 430063, China.
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2019 (English)In: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 15, no 9, p. 4913-4922Article in journal (Refereed) Published
Abstract [en]

This paper presents a novel cooperative USV-UAV platform to form a powerful combination, which offers foundations for collaborative task executed by the coupled USV-UAV systems. Adjustable buoys and unique carrier deck for the USV are designed to guarantee landing safety and transportation of UAV. The deck of USV is equipped with a series of sensors, and a multi-ultrasonic joint dynamic positioning algorithm is introduced for resolving the positioning problem of the coupled USV-UAV systems. To fulfill effective guidance for the landing operation of UAV, we design a hierarchical landing guide point generation algorithm to obtain a sequence of guide points. By employing the above sequential guide points, high quality paths are planned for the UAV. Cooperative dynamic positioning process of the USV-UAV systems is elucidated, and then UAV can achieve landing on the deck of USV steadily. Our cooperative USV-UAV platform is validated by simulation and water experiments.

Place, publisher, year, edition, pages
IEEE, 2019. Vol. 15, no 9, p. 4913-4922
Keywords [en]
USV-UAV platform, Multi-ultrasonic joint dynamic positioning algorithm, Hierarchical landing guide point generation algorithm, Cooperative positioning
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mau:diva-2591DOI: 10.1109/TII.2019.2912024ISI: 000489584600007Scopus ID: 2-s2.0-85084827328Local ID: 28531OAI: oai:DiVA.org:mau-2591DiVA, id: diva2:1399354
Available from: 2020-02-27 Created: 2020-02-27 Last updated: 2024-06-17Bibliographically approved

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Publisher's full textScopushttps://ieeexplore.ieee.org/abstract/document/8693737

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Malekian, Reza

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