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Survey on the Developments of Unmanned Marine Vehicles: Intelligence and Cooperation

With the recent development of artificial intelligence (AI) and information and communication technology, manned vehicles operated by humans used on the ground, air, and sea are evolving into unmanned vehicles (UVs) that operate without human intervention. In particular, unmanned marine vehicles (UM...

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Autores principales: Bae, Inyeong, Hong, Jungpyo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221010/
https://www.ncbi.nlm.nih.gov/pubmed/37430557
http://dx.doi.org/10.3390/s23104643
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author Bae, Inyeong
Hong, Jungpyo
author_facet Bae, Inyeong
Hong, Jungpyo
author_sort Bae, Inyeong
collection PubMed
description With the recent development of artificial intelligence (AI) and information and communication technology, manned vehicles operated by humans used on the ground, air, and sea are evolving into unmanned vehicles (UVs) that operate without human intervention. In particular, unmanned marine vehicles (UMVs), including unmanned underwater vehicles (UUVs) and unmanned surface vehicles (USVs), have the potential to complete maritime tasks that are unachievable for manned vehicles, lower the risk of man power, raise the power required to carry out military missions, and reap huge economic benefits. The aim of this review is to identify past and current trends in UMV development and present insights into future UMV development. The review discusses the potential benefits of UMVs, including completing maritime tasks that are unachievable for manned vehicles, lowering the risk of human intervention, and increasing power for military missions and economic benefits. However, the development of UMVs has been relatively tardy compared to that of UVs used on the ground and in the air due to adverse environments for UMV operation. This review highlights the challenges in developing UMVs, particularly in adverse environments, and the need for continued advancements in communication and networking technologies, navigation and sound exploration technologies, and multivehicle mission planning technologies to improve UMV cooperation and intelligence. Furthermore, the review identifies the importance of incorporating AI and machine learning technologies in UMVs to enhance their autonomy and ability to perform complex tasks. Overall, this review provides insights into the current state and future directions for UMV development.
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spelling pubmed-102210102023-05-28 Survey on the Developments of Unmanned Marine Vehicles: Intelligence and Cooperation Bae, Inyeong Hong, Jungpyo Sensors (Basel) Review With the recent development of artificial intelligence (AI) and information and communication technology, manned vehicles operated by humans used on the ground, air, and sea are evolving into unmanned vehicles (UVs) that operate without human intervention. In particular, unmanned marine vehicles (UMVs), including unmanned underwater vehicles (UUVs) and unmanned surface vehicles (USVs), have the potential to complete maritime tasks that are unachievable for manned vehicles, lower the risk of man power, raise the power required to carry out military missions, and reap huge economic benefits. The aim of this review is to identify past and current trends in UMV development and present insights into future UMV development. The review discusses the potential benefits of UMVs, including completing maritime tasks that are unachievable for manned vehicles, lowering the risk of human intervention, and increasing power for military missions and economic benefits. However, the development of UMVs has been relatively tardy compared to that of UVs used on the ground and in the air due to adverse environments for UMV operation. This review highlights the challenges in developing UMVs, particularly in adverse environments, and the need for continued advancements in communication and networking technologies, navigation and sound exploration technologies, and multivehicle mission planning technologies to improve UMV cooperation and intelligence. Furthermore, the review identifies the importance of incorporating AI and machine learning technologies in UMVs to enhance their autonomy and ability to perform complex tasks. Overall, this review provides insights into the current state and future directions for UMV development. MDPI 2023-05-10 /pmc/articles/PMC10221010/ /pubmed/37430557 http://dx.doi.org/10.3390/s23104643 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Bae, Inyeong
Hong, Jungpyo
Survey on the Developments of Unmanned Marine Vehicles: Intelligence and Cooperation
title Survey on the Developments of Unmanned Marine Vehicles: Intelligence and Cooperation
title_full Survey on the Developments of Unmanned Marine Vehicles: Intelligence and Cooperation
title_fullStr Survey on the Developments of Unmanned Marine Vehicles: Intelligence and Cooperation
title_full_unstemmed Survey on the Developments of Unmanned Marine Vehicles: Intelligence and Cooperation
title_short Survey on the Developments of Unmanned Marine Vehicles: Intelligence and Cooperation
title_sort survey on the developments of unmanned marine vehicles: intelligence and cooperation
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221010/
https://www.ncbi.nlm.nih.gov/pubmed/37430557
http://dx.doi.org/10.3390/s23104643
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