Applications, evolutions, and challenges of drones in maritime transport
Applications, evolutions, and challenges of drones in maritime transport
The widespread interest in using drones in maritime transport has rapidly grown alongside the development of unmanned ships and drones. To stimulate growth and address the associated technical challenges, this paper systematically reviews the relevant research progress, classification, applications, technical challenges, and possible solutions related to the use of drones in the maritime sector. The findings provide an overview of the state of the art of the applications of drones in the maritime industry over the past 20 years and identify the existing problems and bottlenecks in this field. A new classification scheme is established based on their flight characteristics to aid in distinguishing drones’ applications in maritime transport. Further, this paper discusses the specific use cases and technical aspects of drones in maritime rescue, safety, navigation, environment, communication, and other aspects, providing in-depth guidance on the future development of different mainstream applications. Lastly, the challenges facing drones in these applications are identified, and the corresponding solutions are proposed to address them. This research offers pivotal insights and pertinent knowledge beneficial to various entities such as maritime regulatory bodies, shipping firms, academic institutions, and enterprises engaged in drone production. This paper makes new contributions in terms of the comprehensive analysis and discussion of the application of drones in maritime transport and the provision of guidance and support for promoting their further development and integration with intelligent transport.
Wang, Jingbo
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Zhou, Kaiwen
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Xing, Wenbin
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Li, Huanhuan
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Yang, Zaili
82d4eebc-4532-4343-8555-35169e79bb6d
27 October 2023
Wang, Jingbo
b4bac86a-c2d5-4234-9d10-fa515bda7ecc
Zhou, Kaiwen
e372286b-d807-41dd-bb6b-08ec0e1c04e1
Xing, Wenbin
af8672b7-7b06-46e1-873b-b5b27159e9fe
Li, Huanhuan
5e806b21-10a7-465c-9db3-32e466ae42f1
Yang, Zaili
82d4eebc-4532-4343-8555-35169e79bb6d
Wang, Jingbo, Zhou, Kaiwen, Xing, Wenbin, Li, Huanhuan and Yang, Zaili
(2023)
Applications, evolutions, and challenges of drones in maritime transport.
Journal of Marine Science and Engineering, 11 (11), [2056].
(doi:10.3390/jmse11112056).
Abstract
The widespread interest in using drones in maritime transport has rapidly grown alongside the development of unmanned ships and drones. To stimulate growth and address the associated technical challenges, this paper systematically reviews the relevant research progress, classification, applications, technical challenges, and possible solutions related to the use of drones in the maritime sector. The findings provide an overview of the state of the art of the applications of drones in the maritime industry over the past 20 years and identify the existing problems and bottlenecks in this field. A new classification scheme is established based on their flight characteristics to aid in distinguishing drones’ applications in maritime transport. Further, this paper discusses the specific use cases and technical aspects of drones in maritime rescue, safety, navigation, environment, communication, and other aspects, providing in-depth guidance on the future development of different mainstream applications. Lastly, the challenges facing drones in these applications are identified, and the corresponding solutions are proposed to address them. This research offers pivotal insights and pertinent knowledge beneficial to various entities such as maritime regulatory bodies, shipping firms, academic institutions, and enterprises engaged in drone production. This paper makes new contributions in terms of the comprehensive analysis and discussion of the application of drones in maritime transport and the provision of guidance and support for promoting their further development and integration with intelligent transport.
Text
jmse-11-02056-v2
- Version of Record
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Accepted/In Press date: 23 October 2023
Published date: 27 October 2023
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Local EPrints ID: 503680
URI: http://eprints.soton.ac.uk/id/eprint/503680
PURE UUID: d614ede7-8f80-4594-ba4c-ee9ca8dde0d2
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Date deposited: 08 Aug 2025 16:43
Last modified: 22 Aug 2025 02:49
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Author:
Jingbo Wang
Author:
Kaiwen Zhou
Author:
Wenbin Xing
Author:
Huanhuan Li
Author:
Zaili Yang
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