A survey of maritime unmanned search system: Theory, applications and future directions

Li, Jiqiang; Zhang, Guoqing; Jiang, Changyan

doi:10.1016/j.oceaneng.2023.115359

Cited by 26 publications

(11 citation statements)

References 89 publications

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“…This includes vessels in distress due to grounding, sinking, fire or explosion, forced landings, and aircraft crashes, as well as stranded, injured or missing persons [4]. In accordance with the guidelines provided by the National Maritime Search and Rescue Manual and the International Aeronautical and Maritime Search and Rescue Manual, the maritime search process includes four basic phases: (1) assessing the distress status of the target in the water; (2) determining the optimal search area; (3) formulating the search program and plan; (4) conducting the rescue operation immediately upon locating the target.…”

Section: Research On Related Methodsmentioning

confidence: 99%

“…It has autonomous navigation, control, and communication capabilities. They possess characteristics such as high mobility, cost-effectiveness, and large search radius [1], and represent a novel technological approach to address the weaknesses in coordinated maritime SAR Electronics 2023, 12, 4584 2 of 24 capabilities, increased search and rescue risks, and operational costs [2]. Compared to traditional maritime SAR methods, the use of USV offers significant advantages.…”

Section: Introductionmentioning

confidence: 99%

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USV Search Mission Planning Methodology for Lost Target Rescue on Sea

Zhang,

Huang,

Qin

et al. 2023

Electronics

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Quick and efficient mission planning is essential in maritime search and rescue (SAR). This includes defining the search area and developing an effective strategy. The task is fraught with challenges due to the difficulty of determining location information and the impact of complex meteorological environments. The primary objective of SAR mission planning is the rapid deployment of unmanned surface vehicles (USVs) to the incident area. While many planning algorithms prioritize the shortest route, there’s a lack of mission planning measures that maximize SAR effectiveness. In addition, the joint deployment of USVs increases the success rate compared to individual operations. Therefore, this paper presents a task assignment framework for USVs in SAR missions that considers the probability of success and time constraints. USVs are used to search for lost targets, and the framework consists of the following three modules: (1) a module for predicting the location of the overboard target to be rescued; (2) a module for modeling the probability of mission success; (3) a module for assigning search tasks to USVs. The framework first analyzes the search area. Then, it predicts the target location with a stochastic particle method, which incorporates marine environment forecast data to update the mission target location. To improve the scientific nature of USV search and rescue mission plans, an evaluation model is developed to assess mission capability. Simulation experiments and task scheme analysis validate its effectiveness.

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Section: Research On Related Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

USV Search Mission Planning Methodology for Lost Target Rescue on Sea

Zhang,

Huang,

Qin

et al. 2023

Electronics

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“…Submarines, autonomous underwater vehicles (AUVs), and remotely operated vehicles (ROVs) are vital for marine exploration, scientific research, and defense operations [3][4][5]. The growth of underseas infrastructure further emphasizes the need for accurate underwater navigation systems [6][7][8]. Efficient underwater navigation becomes a strategic imperative as nations explore and exploit resources in deeper waters [9,10].…”

Section: Introductionmentioning

confidence: 99%

Advancing Sustainable Marine Exploration: Highly Efficient Photonic Radar for Underwater Navigation Systems under the Impact of Different Salinity Levels

Aldawoodi,

Bilge

2024

Sustainability

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The exploration of underwater environments for applications like environmental monitoring, scientific research, and surveillance has propelled the significance of underwater wireless navigation. Light waves have emerged as a promising solution, offering the potential to achieve the required data rates and propagation speeds. However, underwater optical wireless navigation faces challenges, particularly limited range. This research investigates a novel FMCW (frequency-modulated continuous wave)-based photonic radar system’s efficacy in detecting underwater vehicles across diverse salinity levels and distances. Numerical simulation evaluations reveal distinct signal-to-noise ratios (SNR) and detected power peaks corresponding to varying salinity levels, demonstrating the system’s sensitivity. At 5 g/L salinity, the detected power peaked at −95 dBm, decreasing to −105 dBm at 15 g/L. SNR analysis indicates robust detection within a 4 m range, with challenges emerging at extended ranges and higher salinity. Despite these challenges, the system shows promise for near-range underwater navigation, contributing to sustainable marine exploration by enhancing the accuracy and efficiency of underwater monitoring systems. This advancement aligns with the goals of sustainable development by supporting the protection of marine ecosystems, promoting scientific understanding of underwater environments, and aiding in the sustainable management of marine resources.

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“…The maritime industry has recently experienced a surge in research and applications of Unmanned Aerial Vehicles (UAVs), supported by advanced technologies, for instance, the Internet of Things, digital technology, autonomous driving, and Artificial Intelligence (AI) technology [1][2][3][4]. UAVs, commonly known as drones, are remotely or autonomously controlled aircrafts that operate without a pilot [5,6].…”

Section: Introductionmentioning

confidence: 99%

Applications, Evolutions, and Challenges of Drones in Maritime Transport

Wang,

Zhou,

Xing

et al. 2023

JMSE

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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.

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A survey of maritime unmanned search system: Theory, applications and future directions

Cited by 26 publications

References 89 publications

USV Search Mission Planning Methodology for Lost Target Rescue on Sea

USV Search Mission Planning Methodology for Lost Target Rescue on Sea

Advancing Sustainable Marine Exploration: Highly Efficient Photonic Radar for Underwater Navigation Systems under the Impact of Different Salinity Levels

Applications, Evolutions, and Challenges of Drones in Maritime Transport

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