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Journal articles on the topic 'Maritime unmanned complex'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Jin, Shunqi, and Jin Lin. "Design Practice of Maritime Unmanned Equipment Test System Based on LVC." Journal of Physics: Conference Series 2999, no. 1 (2025): 012002. https://doi.org/10.1088/1742-6596/2999/1/012002.

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Abstract A test system that combines reality and simulation is an urgent requirement for the combat-oriented demonstration and verification of maritime unmanned equipment in complex scenarios. By analyzing the actual demand and outstanding issues related to maritime unmanned equipment testing, and combining this with the characteristics of maritime unmanned equipment testing tasks at the present stage, a framework for a maritime unmanned equipment testing system based on live virtual constructive (LVC) simulation technology has been designed. This system composition has been proposed, and a ty

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Dong, Pengyan, Jiahong Liu, Hang Tao, Yang Zhao, Zhijie Feng, and Hanjiang Luo. "Long-Endurance Collaborative Search and Rescue Based on Maritime Unmanned Systems and Deep-Reinforcement Learning." Sensors 25, no. 13 (2025): 4025. https://doi.org/10.3390/s25134025.

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Maritime vision sensing can be applied to maritime unmanned systems to perform search and rescue (SAR) missions under complex marine environments, as multiple unmanned aerial vehicles (UAVs) and unmanned surface vehicles (USVs) are able to conduct vision sensing through the air, the water-surface, and underwater. However, in these vision-based maritime SAR systems, collaboration between UAVs and USVs is a critical issue for successful SAR operations. To address this challenge, in this paper, we propose a long-endurance collaborative SAR scheme which exploits the complementary strengths of the

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Zwolak, Karolina, Rafał Miętkiewicz, Julia Dąbrowska, and Neil Tinmouth. "The Assessment of Unmanned Vessel Operation in Heavy Traffic Areas. Case Study of the North Sea Crossing by Unmanned Surface Vessel Sea-Kit." Maritime Technical Journal 224, no. 1 (2022): 41–67. http://dx.doi.org/10.2478/sjpna-2022-0004.

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Abstract The continuous development of autonomous and unmanned technology is accelerating the adoption of unmanned vessels for various maritime operations. Despite the technological developments there is still a lack of clear regulatory and organizational frameworks for testing and exploiting the potential of unmanned surface vessels (USVs) in real-world maritime conditions. Such real-world testing becomes ever more complex when operating in multiple nations territorial waters. In May 2019 USV ‘Maxlimer’ crossed the North Sea from the United Kingdom to Belgium and back, carrying goods, to demo

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Volodymyr, Blintsov, and Tosin Aloba Leo. "CONTROL AUTOMATION OF MARITIME UNMANNED COMPLEX WITH A GROUP OF AUTONOMOUS UNDERWATER VEHICLES." EUREKA: Physics and Engineering, no. 4 (July 31, 2019): 54–62. https://doi.org/10.21303/2461-4262.2019.00940.

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It is expedient to perform underwater search operations on large water areas using a group of autonomous self-propelled underwater vehicles. However, with a large distance to the search areas, the sea transition (from one point to the other) of the underwater vehicles requires high energy costs. This leads to the necessity to use heavy-duty underwater vehicles, which determines the high cost of the search operation. The transport of underwater vehicles is proposed to be carried out with an unmanned surface vessel, equipped with actuators for the automatic release of a group of vehicles under w

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Blintsov, Volodymyr, and Leo Tosin Aloba. "CONTROL AUTOMATION OF MARITIME UNMANNED COMPLEX WITH A GROUP OF AUTONOMOUS UNDERWATER VEHICLES." EUREKA: Physics and Engineering 4 (July 31, 2019): 54–62. http://dx.doi.org/10.21303/2461-4262.2019.00940.

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It is expedient to perform underwater search operations on large water areas using a group of autonomous self-propelled underwater vehicles. However, with a large distance to the search areas, the sea transition (from one point to the other) of the underwater vehicles requires high energy costs. This leads to the necessity to use heavy-duty underwater vehicles, which determines the high cost of the search operation. The transport of underwater vehicles is proposed to be carried out with an unmanned surface vessel, equipped with actuators for the automatic release of a group of vehicles under w

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Zhang, Wenjun, Zihao Liu, and Xiaoxue Ma. "Research on Navigation Risk Assessment of Unmanned Ship Under Complex Navigation Conditions." Journal of Marine Science and Engineering 12, no. 11 (2024): 1947. http://dx.doi.org/10.3390/jmse12111947.

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With the research on unmanned ships conducted by the International Maritime Organization, the European Union and China, the navigation risk of unmanned ships has become a hot topic around the world. Based on the research and development history and current situation of unmanned ships at home and abroad, focusing on the three key elements of “Unmanned Ship, shore-based control personnel, external navigation environment”, this study establishes a navigation risk index system for unmanned ships under complex navigation conditions, considering the particularity of the unmanned ship, its perception

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da Conceição, Victor P., Joakim Dahlman, and Ana Navarro. "What is maritime navigation? Unfolding the complexity of a Sociotechnical System." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (2017): 267–71. http://dx.doi.org/10.1177/1541931213601549.

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Maritime navigation is a complex task, involving an ever-increasing number of stakeholders and technologies. As complexity is growing, attention turns to the human element as the major cause of accidents and incidents. However, it is also the human element that might bring coherence and reasoning to the complex sociotechnical system that comprises maritime navigation. Thus, it is essential to develop an interpretative framework that could make sense of this complex system. This research project aims to enhance safety in maritime navigation, by developing a conceptual framework. This enables th

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Vijayan, M., Ansh Pangoria, and Milan J. Patel. "Optimizing Wing-In-Ground Effect UAVS for Enhanced Search and Rescue Operations: A Comprehensive Review." International Journal for Research in Applied Science and Engineering Technology 12, no. 10 (2024): 123–32. http://dx.doi.org/10.22214/ijraset.2024.64283.

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Abstract: Wing-In-Ground Effect (WIG) Unmanned Aerial Vehicles (UAVs) represent a unique convergence of aerodynamic principles and unmanned systems technology, offering promising solutions for maritime operations. This paper explores the historical development, theoretical foundations, and potential applications of WIG UAVs. The phenomenon of ground effect, which enhances lift and reduces drag when flying close to water surfaces, has been observed since the early 20th century. Soviet engineer Rostislav Alexeyev's pioneering work on the Lun-class ekranoplan in the 1960s demonstrated the viabili

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De Rosa, Francesca, and Christopher Strode. "Games to support disruptive technology adoption: the MUST Game use case." International Journal of Serious Games 9, no. 2 (2022): 93–114. http://dx.doi.org/10.17083/ijsg.v9i2.492.

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Serious games can be used as a means to explore complex systems and uncertainty related challenges, therefore they may have the potential of supporting the adoption of innovative and disruptive technologies. In this paper we present the use case of the Maritime Unmanned Systems Trust (MUST) Game, which goal is to capture beliefs, attitude and perspectives of the participants with respect to the employment of maritime unmanned systems (MUS) in the maritime domain. This novel game aims at better understanding the relation between trust factors and MUS. Moreover, it explores how players make deci

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Zilong, Guo, Mei Hong, Jian Shi, Zhang Yunxiang, and Hu Qiuliang. "Research on risk Assessment and decision support for underwater Platform in Naval Battle field environment." Journal of Physics: Conference Series 2486, no. 1 (2023): 012040. http://dx.doi.org/10.1088/1742-6596/2486/1/012040.

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Abstract Autonomous underwater unmanned platforms have become important facilities in the marine field since countries attach importance to maritime rights and interests, and play an important role in both military and civilian use. However, complex underwater marine environmental elements will have a huge impact on the performance of underwater unmanned platforms, and how to ensure the safe and stable operation of underwater unmanned platforms has become an urgent problem to be solved. Based on this practical problem, this paper studies the influence of marine environmental elements on the op

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Nguyen, Tien-Thanh, Charles Hamesse, Thomas Dutrannois, et al. "Visual-based Localization Methods for Unmanned Aerial Vehicles in Landing Operation on Maritime Vessel." Acta IMEKO 13, no. 4 (2024): 1–13. https://doi.org/10.21014/actaimeko.v13i4.1575.

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Unmanned Aerial Vehicles (UAVs) have become increasingly important in maritime operations due to their ability to perform complex tasks that are difficult or dangerous for humans. However, accurate localization of these UAVs in maritime environments especially during landing operation on maritime vessels remains a challenge, particularly in GNSS denied areas. This paper proposes two visual-based localization methods for UAVs during two different phases of landing operating on maritime vessels. The first method is used for estimating the UAV's position with respect to the vessel during the appr

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Feng, Zhiming, Lingzhe Kong, and Zhongyu Cui. "Structural Design Study of Air-Dropped Unmanned Maritime Mobile Search and Rescue Platforms." Journal of Electronic Research and Application 8, no. 3 (2024): 234–42. http://dx.doi.org/10.26689/jera.v8i3.7189.

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In order to improve the efficiency and safety of search and rescue (SAR) at sea, this paper proposes a kind of emergency rapid rescue unmanned craft (air-dropped unmanned maritime motorized search and rescue platform) that can be delivered by a large transport aircraft. This paper studies the structural design scheme of the platform, and the main scale of the platform, the choice of power system and the impact resistance performance are considered in the design process to ensure its rapid response and effective rescue capability under complex sea conditions. Simulation results show that the pl

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Sun, Yuan, and Li Fu. "Coarse-Fine-Stitched: A Robust Maritime Horizon Line Detection Method for Unmanned Surface Vehicle Applications." Sensors 18, no. 9 (2018): 2825. http://dx.doi.org/10.3390/s18092825.

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The horizon line has numerous applications for an unmanned surface vehicles (USV), such as autonomous navigation, attitude estimation, obstacle detection and target tracking. However, maritime horizon line detection is quite a challenging problem. The pixel points of the horizon line features are far fewer than the pixel points of the entire image, on the one hand. Conversely, the detection results might be impacted negatively by the complex maritime environment, waves, light changing, and partial occlusions due to maritime vessels or islands, for example. To solve these problems, a robust hor

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Researcher. "ROBOTIC AND AUTONOMOUS VEHICLES FOR DEFENSE AND SECURITY: A COMPREHENSIVE REVIEW." International Journal of Computer Engineering and Technology (IJCET) 15, no. 4 (2024): 297–307. https://doi.org/10.5281/zenodo.13233733.

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This comprehensive review explores the rapidly evolving field of Robotic and Autonomous Vehicles (RAVs) in defense and security applications. It examines the various types of RAVs, including Unmanned Aerial Vehicles (UAVs), Unmanned Ground Vehicles (UGVs), and Unmanned Maritime Vehicles (UMVs), detailing their key capabilities in surveillance, intelligence gathering, target acquisition, and risk mitigation. The article also addresses the significant challenges facing RAV deployment, such as ethical implications, legal frameworks, interoperability, and cybersecurity concerns. Furthermore, it hi

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Mu, Dongdong, Tanghui Li, Xinjie Han, Yunsheng Fan, and Fei Wang. "Global path planning for Unmanned Surface Vehicles in complex maritime environments considering environmental interference." Ocean Engineering 310 (October 2024): 118580. http://dx.doi.org/10.1016/j.oceaneng.2024.118580.

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Mallam¹, Steven C., Kjetil Nordby², Koen van de Merwe¹, Erik Veitch, Salman Nazir¹, and Brian Veitch. "Empathy from Afar? Towards Empathy for Future Maritime Designers and Remote Operators." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66, no. 1 (2022): 508–12. http://dx.doi.org/10.1177/1071181322661062.

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Having empathy and being able to empathize refer to the ability to understand, view or feel the experiences and perspectives of others. In a work context, the ability of different actors to empathize with others can have positive effects in the design, organization and operations of complex systems. This article explores the value of empathy within safety-critical work systems and discusses the role of empathy as an entry point for user-centred approaches. We use the maritime domain to illustrate why developing empathic skills and knowledge has relevance and added-value for (1) maritime design

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Zhang, Jun, Yiming Hua, Luya Chen, et al. "EMR-YOLO: A Study of Efficient Maritime Rescue Identification Algorithms." Journal of Marine Science and Engineering 12, no. 7 (2024): 1048. http://dx.doi.org/10.3390/jmse12071048.

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Accurate target identification of UAV (Unmanned Aerial Vehicle)-captured images is a prerequisite for maritime rescue and maritime surveillance. However, UAV-captured images pose several challenges, such as complex maritime backgrounds, tiny targets, and crowded scenes. To reduce the impact of these challenges on target recognition, we propose an efficient maritime rescue network (EMR-YOLO) for recognizing images captured by UAVs. In the proposed network, the DRC2f (Dilated Reparam-based Channel-to-Pixel) module is first designed by the Dilated Reparam Block to effectively increase the recepti

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Zhuang, Jiayuan, Jing Luo, and Yuanchang Liu. "A Locking Sweeping Method Based Path Planning for Unmanned Surface Vehicles in Dynamic Maritime Environments." Journal of Marine Science and Engineering 8, no. 11 (2020): 887. http://dx.doi.org/10.3390/jmse8110887.

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Unmanned surface vehicles (USVs) are new marine intelligent platforms that can autonomously operate in various ocean environments with intelligent decision-making capability. As one of key technologies enabling such a capability, path planning algorithms underpin the navigation and motion control of USVs by providing optimized navigational trajectories. To accommodate complex maritime environments that include various static/moving obstacles, it is important to develop a computational efficient path planning algorithm for USVs so that real-time operation can be effectively carried out. This pa

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Bae, Inyeong, and Jungpyo Hong. "Survey on the Developments of Unmanned Marine Vehicles: Intelligence and Cooperation." Sensors 23, no. 10 (2023): 4643. http://dx.doi.org/10.3390/s23104643.

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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

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Yang, Yao, Cong Huang, Huajun Wang, Jun Wan, ZhenHeng Wang, and Yu Ma. "Research on YOLOv3 target detection model in the field of remote sensing." Journal of Physics: Conference Series 2029, no. 1 (2021): 012093. http://dx.doi.org/10.1088/1742-6596/2029/1/012093.

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Abstract The target recognition problem of high-resolution remote sensing images is marine traffic monitoring, disaster reduction emergency search and rescue, unmanned autonomous systems (UAS) (such as unmanned aerial vehicles, unmanned vehicles, unmanned submersibles, unmanned surface craft and other autonomous robots) and other civilian applications. The core technology of the system is also the key technology of military automatic target recognition (ATR) systems such as military reconnaissance, precision guidance, and maritime monitoring. With the development of high-resolution earth obser

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Bahadır, Levent. "The Legal Status Issue of Unmanned Maritime Vehicles (UMVs) Used for Military Purposes." Journal of Applied And Theoretical Social Sciences 5, no. 4 (2023): 398–412. http://dx.doi.org/10.37241/jatss.2023.99.

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In parallel with the advances in technology, the use of unmanned vehicles on the battlefield for military purposes is becoming increasingly widespread. Since the beginning of the new millennium, the undeniable contributions of Unmanned Aerial Vehicles (UAVs) in combat and combat support operations, especially in Afghanistan and Iraq, have made these vehicles indispensable for states, while on the other hand, it has affected the expansion and deepening of the range of missions of unmanned vehicles used in the maritime environment within a limited framework. However, the use of UMVs, which are g

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Males, Lada, Dean Sumic, and Marko Rosic. "Applications of Multi-Agent Systems in Unmanned Surface Vessels." Electronics 11, no. 19 (2022): 3182. http://dx.doi.org/10.3390/electronics11193182.

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The comprehensive and safe application of unmanned surface vessels is certainly one of the biggest challenges currently facing maritime science. Such vessels can be implemented within a wide range of autonomy levels that goes from remote-controlled vessels to fully autonomous vessels in which intelligent vessel systems completely perform all necessary operations. One of the ways to achieve autonomous vessel systems is to implement multi-agent systems that take over all functions performed by the crew in classical manned crew vessels. A vessel is a complex system that conceptually can be consid

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Wang, Fang, Yong Bai, and Liang Zhao. "Physical Consistent Path Planning for Unmanned Surface Vehicles under Complex Marine Environment." Journal of Marine Science and Engineering 11, no. 6 (2023): 1164. http://dx.doi.org/10.3390/jmse11061164.

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The increasing demand for safe and efficient maritime transportation has underscored the necessity of developing effective path-planning algorithms for Unmanned Surface Vehicles (USVs). However, the inherent complexities of the ocean environment and the non-holonomic properties of the physical system have posed significant challenges to designing feasible paths for USVs. To address these issues, a novel path planning framework is elaborately designed, which consists of an optimization model, a meta-heuristic solver, and a Clothoid-based path connector. First, by encapsulating the intricate nat

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BABACHENKO, Maryna, Iryna GOLUBKOVA, Anastasiia YAVORSKA, Nataliia LYSENKO, and Inha KUCHER. "Management of the development of the marine industry elements in the context of global trends." Ukrainian Journal of Applied Economics and Technology 7, no. 2 (2022): 314–22. http://dx.doi.org/10.36887/2415-8453-2022-2-38.

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The article presents the results of the study of the system elements of the maritime industry in Ukraine. The current state of development of maritime trade, as a key element of the domestic maritime complex, is studied. The indicators of maritime transport in Ukraine, the dynamics and structure of cargo flows, modern conditions of the development of the domestic maritime industry are analyzed. The assessment of the economic potential of seaports, the state of business activity of the largest stevedoring companies of Ukraine was carried out. Studies have shown that the volume of sea cargo flow

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Luo, Jing, Yuhang Zhang, Jiayuan Zhuang, and Yumin Su. "Intelligent Task Allocation and Planning for Unmanned Surface Vehicle (USV) Using Self-Attention Mechanism and Locking Sweeping Method." Journal of Marine Science and Engineering 12, no. 1 (2024): 179. http://dx.doi.org/10.3390/jmse12010179.

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The development of intelligent task allocation and path planning algorithms for unmanned surface vehicles (USVs) is gaining significant interest, particularly in supporting complex ocean operations. This paper proposes an intelligent hybrid algorithm that combines task allocation and path planning to improve mission efficiency. The algorithm introduces a novel approach based on a self-attention mechanism (SAM) for intelligent task allocation. The key contribution lies in the integration of an adaptive distance field, created using the locking sweeping method (LSM), into the SAM. This integrati

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Ehlers, Tobias, Martin Portier, and Doreen Thoma. "Automation of maritime shipping for more safety and environmental protection." at - Automatisierungstechnik 70, no. 5 (2022): 406–10. http://dx.doi.org/10.1515/auto-2022-0003.

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Abstract The demands on maritime shipping, one of the oldest and most international industries in the world, are increasing. The complexity of the transport chains, their constantly increasing size and the evolving regulatory requirements with regard to safety and sustainability continuously present new challenges. In addition, unforeseeable developments and the increasing utilization of the seas by other industries cause a constant uncertainty, by political and military conflicts along main shipping routes, as well as changed routing schemes caused by introduction of new environmental protect

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Li, Yiyuan, Weiyi Chen, Bing Fu, Zhonghong Wu, and Lingjun Hao. "A Global Coverage Path Planning Method for Multi-UAV Maritime Surveillance in Complex Obstacle Environments." Drones 8, no. 12 (2024): 764. https://doi.org/10.3390/drones8120764.

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The study of unmanned aerial vehicle (UAV) coverage path planning is of great significance for ensuring maritime situational awareness and monitoring. In response to the problem of maritime multi-region coverage surveillance in complex obstacle environments, this paper proposes a global path planning method capable of simultaneously addressing the multiple traveling salesman problem, coverage path planning problem, and obstacle avoidance problem. Firstly, a multiple traveling salesmen problem–coverage path planning (MTSP-CPP) model with the objective of minimizing the maximum task completion t

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Liu, Lu, Qihe Shan, and Qi Xu. "USVs Path Planning for Maritime Search and Rescue Based on POS-DQN: Probability of Success-Deep Q-Network." Journal of Marine Science and Engineering 12, no. 7 (2024): 1158. http://dx.doi.org/10.3390/jmse12071158.

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Efficient maritime search and rescue (SAR) is crucial for responding to maritime emergencies. In traditional SAR, fixed search path planning is inefficient and cannot prioritize high-probability regions, which has significant limitations. To solve the above problems, this paper proposes unmanned surface vehicles (USVs) path planning for maritime SAR based on POS-DQN so that USVs can perform SAR tasks reasonably and efficiently. Firstly, the search region is allocated as a whole using an improved task allocation algorithm so that the task region of each USV has priority and no duplication. Seco

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Marliani, Marliani. "Enhancing Maritime Security: Challenges and Strategies in Indonesia's Natuna Sea." Journal of Maritime Policy Science 1, no. 1 (2024): 32–39. http://dx.doi.org/10.31629/jmps.v1i1.6996.

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The Natuna Sea, a strategic region within Indonesia's exclusive economic zone, faces multifaceted maritime security challenges that threaten national sovereignty, economic interests, and regional stability. This abstract explores the key issues and strategic responses to enhance maritime security in this vital area. Indonesia's maritime security challenges in the Natuna Sea are driven by illegal, unreported, and unregulated (IUU) fishing, territorial disputes, and transnational crimes such as smuggling and human trafficking. The encroachment of foreign fishing vessels, particularly from neighb

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Marliani, Marliani. "Enhancing Maritime Security: Challenges and Strategies in Indonesia's Natuna Sea." Journal of Maritime Policy Science 1, no. 1 (2024): 32–39. https://doi.org/10.31629/jmps.v1i1.6876.

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The Natuna Sea, a strategic region within Indonesia's exclusive economic zone, faces multifaceted maritime security challenges that threaten national sovereignty, economic interests, and regional stability. This abstract explores the key issues and strategic responses to enhance maritime security in this vital area. Indonesia's maritime security challenges in the Natuna Sea are driven by illegal, unreported, and unregulated (IUU) fishing, territorial disputes, and transnational crimes such as smuggling and human trafficking. The encroachment of foreign fishing vessels, particularly from neighb

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Li, Yongzheng, Panpan Hou, Chen Cheng, and Biwei Wang. "Research on Collision Avoidance Methods for Unmanned Surface Vehicles Based on Boundary Potential Field." Journal of Marine Science and Engineering 13, no. 1 (2025): 88. https://doi.org/10.3390/jmse13010088.

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In recent years, unmanned surface vehicles (USVs) have gained increasing attention in industry due to their efficiency and versatility in marine operations. Artificial potential field (APF) methods, with their strong adaptability and simplicity of implementation, are widely used in USV path planning tasks. However, the naive APF method struggles in static complex environments, due to the local minima problem. Not to mention that actual navigations may involve other dynamic traffic participants. In this work, an improved APF algorithm integrating the boundary potential field method and the Inte

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TĂNASE (MĂXINEANU), Lavinia Elena, and Ion CHIORCEA. "Naval forces operational environment. Flexibility and strategic adaptability." BULLETIN OF "CAROL I" NATIONAL DEFENCE UNIVERSITY 13, no. 2 (2024): 110–19. http://dx.doi.org/10.53477/2284-9378-24-23.

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In the dynamic scene of naval operations, constant adaptation and innovation are imperative to meeting the challenges and opportunities of technological advances, geopolitical changes and environmental considerations. This article aims to explore the multidimensional landscape of the naval operational environment, offering original insights and solutions to enhance naval capabilities and cooperation on a regional and global scale. From the forefront of technological innovation, onboard unmanned systems integration and artificial intelligence-based decision-making, to strategic adaptability in

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Song, Yuanrui. "The Application of SLAM in Life and Scientific Research." Highlights in Science, Engineering and Technology 76 (December 31, 2023): 655–59. http://dx.doi.org/10.54097/x7tfq210.

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This article mainly focuses on the application of SLAM in technology and provides a literature review on the following aspects: 1) The application of SLAM in automatic parking of automobiles. This includes using AVP-SLAM for high-precision automatic parking in outdoor parking lots using convolutional neural networks, and using MOFISLM for high-precision automatic parking when indoor GPS signals are poor. 2) The application of SLAM in robotics. It includes three aspects. The first is using the GMapping algorithm to construct and locate maps with high accuracy, low computational complexity, and

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Nantogma, Sulemana, Keyu Pan, Weilong Song, Renwei Luo, and Yang Xu. "Towards Realizing Intelligent Coordinated Controllers for Multi-USV Systems Using Abstract Training Environments." Journal of Marine Science and Engineering 9, no. 6 (2021): 560. http://dx.doi.org/10.3390/jmse9060560.

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Unmanned autonomous vehicles for various civilian and military applications have become a particularly interesting research area. Despite their many potential applications, a related technological challenge is realizing realistic coordinated autonomous control and decision making in complex and multi-agent environments. Machine learning approaches have been largely employed in simplified simulations to acquire intelligent control systems in multi-agent settings. However, the complexity of the physical environment, unrealistic assumptions, and lack of abstract physical environments derail the p

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Veitch, Erik Aleksander, Thomas Kaland, and Ole Andreas Alsos. "DESIGN FOR RESILIENT HUMAN-SYSTEM INTERACTION IN AUTONOMY: THE CASE OF A SHORE CONTROL CENTRE FOR UNMANNED SHIPS." Proceedings of the Design Society 1 (July 27, 2021): 1023–32. http://dx.doi.org/10.1017/pds.2021.102.

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AbstractArtificial intelligence is transforming how we interact with vehicles. We examine the case of Maritime Autonomous Surface Ships (MASS), which are emerging as a safer and more effective solution for maritime transportation. Despite the focus on autonomy, humans are predicted to have a central role in MASS operations from a Shore Control Centre (SCC). Here, operators will provide back-up control in the event of system failure. There are signification design challenges with such a system. The most critical is human-system interaction in autonomy (H-SIA). We consider humans as the source o

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Ntakolia, Charis, and Dimitrios V. Lyridis. "A Swarm Intelligence Graph-Based Pathfinding Algorithm Based on Fuzzy Logic (SIGPAF): A Case Study on Unmanned Surface Vehicle Multi-Objective Path Planning." Journal of Marine Science and Engineering 9, no. 11 (2021): 1243. http://dx.doi.org/10.3390/jmse9111243.

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Advances in robotic motion and computer vision have contributed to the increased use of automated and unmanned vehicles in complex and dynamic environments for various applications. Unmanned surface vehicles (USVs) have attracted a lot of attention from scientists to consolidate the wide use of USVs in maritime transportation. However, most of the traditional path planning approaches include single-objective approaches that mainly find the shortest path. Dynamic and complex environments impose the need for multi-objective path planning where an optimal path should be found to satisfy contradic

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Xie, Yunze, Yiping Ma, Yiming Cheng, Zhiqian Li, and Xiaoyu Liu. "BIT*+TD3 Hybrid Algorithm for Energy-Efficient Path Planning of Unmanned Surface Vehicles in Complex Inland Waterways." Applied Sciences 15, no. 7 (2025): 3446. https://doi.org/10.3390/app15073446.

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This research proposes a hybrid path planning framework for intelligent inland waterway Unmanned Surface Vehicles (USVs), which integrates the enhanced BIT* (Batch Informed Trees) algorithm with the TD3 (Twin Delayed Deep Deterministic Policy Gradient) deep reinforcement learning method. To address the limitations of traditional path planning algorithms in dynamic environments, the proposed BIT*+TD3 model leverages the BIT* algorithm to generate initial paths in static environments through elliptical informed sampling and heuristic search. Simultaneously, it utilizes the TD3 algorithm to dynam

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Varakuta, V., I. Riapolov, N. Varakuta, Ye Riapolov, and S. Bodnar. "DEVELOPMENT OF UNMANNED SYSTEMS AND THEIR USE DURING THE RUSSIAN-UKRAINIAN WAR." Наукові праці Державного науково-дослідного інституту випробувань і сертифікації озброєння та військової техніки 24, no. 2 (2025): 46–57. https://doi.org/10.37701/dndivsovt.24.2025.06.

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The rapid development of unmanned systems over recent decades has become one of the most prominent manifestations of the transformation of modern warfare. The russian-ukrainian war, ongoing since 2014 and particularly intensified since 2022, has demonstrated unprecedented scale and intensity in the deployment of unmanned systems across aerial, ground, and maritime domains. This article examines how technological innovations in the field of unmanned systems have influenced the changing nature of combat operations, military strategies, and tactics. The paper addresses a relevant scientific probl

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Liu, Haoran, Qihe Shan, Yuchi Cao, and Qi Xu. "Global Path Planning of Unmanned Surface Vehicle in Complex Sea Areas Based on Improved Streamline Method." Journal of Marine Science and Engineering 12, no. 8 (2024): 1324. http://dx.doi.org/10.3390/jmse12081324.

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In this paper, an innovative method is proposed to improve the global path planning of Unmanned Surface Vehicles (USV) in complex sea areas, combining fluid mechanic calculations with an improved A* algorithm. This method not only generates smooth paths but also ensures feasible global solutions, significantly enhancing the efficiency and safety of path planning. Firstly, in response to the water depths limitation, this study set up safe water depths, providing strong guarantees for the safe navigation of USVs in complex waters. Secondly, based on the hydrological and geographical characterist

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Shan, Zhao, Pan, Wang, and Zhao. "Sea–Sky Line and its Nearby Ships Detection Based on the Motion Attitude of Visible Light Sensors." Sensors 19, no. 18 (2019): 4004. http://dx.doi.org/10.3390/s19184004.

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In the maritime scene, visible light sensors installed on ships have difficulty accurately detecting the sea–sky line (SSL) and its nearby ships due to complex environments and six-degrees-of-freedom movement. Aimed at this problem, this paper combines the camera and inertial sensor data, and proposes a novel maritime target detection algorithm based on camera motion attitude. The algorithm mainly includes three steps, namely, SSL estimation, SSL detection, and target saliency detection. Firstly, we constructed the camera motion attitude model by analyzing the camera's six-degrees-of-freedom m

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Vedeler, Alexandra, and Narada Warakagoda. "Generative Adversarial Immitation Learning for Steering an Unmanned Surface Vehicle." Proceedings of the Northern Lights Deep Learning Workshop 1 (February 7, 2020): 6. http://dx.doi.org/10.7557/18.5147.

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The task of obstacle avoidance using maritime vessels, such as Unmanned Surface Vehicles (USV), has traditionally been solved using specialized modules that are designed and optimized separately. However, this approach requires a deep insight into the environment, the vessel, and their complex dynamics. We propose an alternative method using Imitation Learning (IL) through Deep Reinforcement Learning (RL) and Deep Inverse Reinforcement Learning (IRL) and present a system that learns an end-to-end steering model capable of mapping radar-like images directly to steering actions in an obstacle av

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Rehman, Faheem Ur, Luofeng Huang, Enrico Anderlini, and Giles Thomas. "Hydrodynamic Modelling for a Transportation System of Two Unmanned Underwater Vehicles: Semi-Empirical, Numerical and Experimental Analyses." Journal of Marine Science and Engineering 9, no. 5 (2021): 500. http://dx.doi.org/10.3390/jmse9050500.

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Underwater transportation is an essential approach for scientific exploration, maritime construction and military operations. Determining the hydrodynamic coefficients for a complex underwater transportation system comprising multiple vehicles is challenging. Here, the suitability of a quick and less costly semi-empirical approach to obtain the hydrodynamic coefficients for a complex transportation system comprising two Unmanned Underwater Vehicles (UUVs) is investigated, where the interaction effects between UUVs are assumed to be negligible. The drag results were verified by Computational Fl

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Wang, Pengyue, Mingyang Pan, Zongying Liu, Shaoxi Li, Yuanlong Chen, and Yang Wei. "Ship Trajectory Prediction in Complex Waterways Based on Transformer and Social Variational Autoencoder (SocialVAE)." Journal of Marine Science and Engineering 12, no. 12 (2024): 2233. https://doi.org/10.3390/jmse12122233.

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Ship trajectory prediction plays a key role in the early warning and safety of maritime traffic. It is a necessary assistant tool that can forecast a ship’s trajectory in a certain period to prevent ship collision. However, highly precise prediction of long-term ship trajectories is still a challenge. This study proposes a ship trajectory prediction model called ShipTrack-TVAE, which is based on a Variational Autoencoder (SocialVAE) and Transformer architecture. It aims to address ship trajectory prediction tasks in complex waterways. To enable the model to avoid potential collision risks, thi

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Miao, Fahui, Hangyu Li, and Xiaojun Mei. "Three-Dimensional Path Planning of UAVs for Offshore Rescue Based on a Modified Coati Optimization Algorithm." Journal of Marine Science and Engineering 12, no. 9 (2024): 1676. http://dx.doi.org/10.3390/jmse12091676.

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Unmanned aerial vehicles (UAVs) provide efficient and flexible means for maritime emergency rescue, with path planning being a critical technology in this context. Most existing unmanned device research focuses on land-based path planning in two-dimensional planes, which fails to fully leverage the aerial advantages of UAVs and does not accurately describe offshore environments. Therefore, this paper establishes a three-dimensional offshore environmental model. The UAV’s path in this environment is achieved through a novel swarm intelligence algorithm, which is based on the coati optimization

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Su, Yumin, Jing Luo, Jiayuan Zhuang, Shengqing Song, Bing Huang, and Lei Zhang. "A constrained locking sweeping method and velocity obstacle based path planning algorithm for unmanned surface vehicles in complex maritime traffic scenarios." Ocean Engineering 279 (July 2023): 113538. http://dx.doi.org/10.1016/j.oceaneng.2022.113538.

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Li, Shuo, Fei Teng, Geyang Xiao, and Haoran Zhao. "Distributed Optimization-Based Path Planning for Multiple Unmanned Surface Vehicles to Pass through Narrow Waters." Journal of Marine Science and Engineering 12, no. 8 (2024): 1246. http://dx.doi.org/10.3390/jmse12081246.

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Safety and efficiency are important when Unmanned Surface Vehicles (USVs) pass through narrow waters in complex marine environments. This paper considers the issue of path planning for USVs passing through narrow waterways. We propose a distributed optimization algorithm based on a polymorphic network architecture, which maintains connectivity and avoids collisions between USVs while planning optimal paths. Firstly, the initial path through the narrow waterway is planned for each USV using the narrow water standard route method, and then the interpolating spline method is used to determine its

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Dai, Yanpeng, Ziyi Liang, Ling Lyu, and Bin Lin. "Deep Reinforcement Learning-Based UAV Data Collection and Offloading in NOMA-Enabled Marine IoT Systems." Wireless Communications and Mobile Computing 2022 (May 12, 2022): 1–13. http://dx.doi.org/10.1155/2022/8805416.

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The rapid growth of maritime wireless communication demand and the complex offshore wireless communication environment have brought challenges to ensure the real-time and reliability of data transmission in the marine Internet of Things (MIoT). Unmanned aerial vehicles (UAVs) have great advantages in enhancing coverage and channel quality. Hence, we investigate a UAV-assisted data collection and data offloading system based on nonorthogonal multiple access (NOMA) technology in this paper. We jointly optimize the buoy-UAV association relationship, transmit powers, and the UAV trajectory to mini

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Fu, Dongyang, Shangfeng Du, Yang Si, Yafeng Zhong, and Yongze Li. "Dynamic Tracking Matched Filter with Adaptive Feedback Recurrent Neural Network for Accurate and Stable Ship Extraction in UAV Remote Sensing Images." Remote Sensing 16, no. 12 (2024): 2203. http://dx.doi.org/10.3390/rs16122203.

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In an increasingly globalized world, the intelligent extraction of maritime targets is crucial for both military defense and maritime traffic monitoring. The flexibility and cost-effectiveness of unmanned aerial vehicles (UAVs) in remote sensing make them invaluable tools for ship extraction. Therefore, this paper introduces a training-free, highly accurate, and stable method for ship extraction in UAV remote sensing images. First, we present the dynamic tracking matched filter (DTMF), which leverages the concept of time as a tuning factor to enhance the traditional matched filter (MF). This r

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Dai, Qiuyang, Faxing Lu, and Junfei Xu. "A Spatial Registration Method for Multi-UAVs Based on a Cooperative Platform in a Geodesic Coordinate Information-Free Environment." Applied Sciences 13, no. 19 (2023): 10705. http://dx.doi.org/10.3390/app131910705.

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The satellite navigation system of Unmanned Aerial Vehicles (UAVs) is susceptible to external interference in a complex environment, resulting in the loss of their own geodetic coordinate information. A spatial registration method for multi-UAVs based on a cooperative platform in a geodesic coordinate information-free environment is proposed to solve this problem. The mutual observation information between UAVs is approximated by the observation information of the cooperative platform. Indirect observation information of the target can be obtained on account of mutual observation. On the basis

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Bertacchi, Andrea, Diego Orazi, and Leonardo Ercolini. "The ledge plant communities in a limestone cave of the Apuan area: identification and survey by UAV technology." Italian Botanist 20 (July 23, 2025): 9–22. https://doi.org/10.3897/italianbotanist.20.145009.

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The Apuan Alps are a mountain range in the north-west of Tuscany, part of the Tuscan Sub-Apennines. The particular geomorphology, exposure, and biogeographic location create a diversified vegetation landscape across altitudinal and latitudinal gradients. The sclerophyllous formations of the Mediterranean scrub and woods of the maritime side coexist with mesophilous broadleaf woods and grasslands at higher elevations. In this context, it is possible to find heterotopic patches of evergreen sclerophyllous vegetation in the inner mountain complex, closely linked to the external walls of limestone

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