Maritime Autonomous Vessels

Xu, Haitong; Moreira, L.; Soares, C. Guedes

doi:10.3390/jmse11010168

Cited by 4 publications

(4 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The most important advantages of maritime assets are their continuous mobility and high diagnostic capability, while the disadvantages are the characteristics of the maritime assets, their technical capabilities, being affected by meteorological conditions, being widely manned nowadays and the risks of human errors, high costs, and difficulties in performing uninterrupted missions. In the coming period, with the increase in USV fleets and the advantages of USVs, the priority importance of sea-borne surveillance activities is likely to increase [73].…”

Section: Evaluation Of Alternativesmentioning

confidence: 99%

Safety–Security Analysis of Maritime Surveillance Systems in Critical Marine Areas

Şengül,

Yılmaz,

Uğurlu

2023

Sustainability

View full text Add to dashboard Cite

In today’s world, wherein more than 80% of world trade is carried out by maritime routes, the safety and security of the seas where this trade takes place is of vast importance for nations and the international community. For this reason, ensuring the sustainable safety and security of the seas has become an integral part of the mission of all maritime-related entities. Using big data extracted from the seas and maritime activities into meaningful information with artificial intelligence applications and developing applications that can be used in maritime surveillance will be of great importance for augmenting maritime safety and security. In this article, data sources which can be used by a maritime surveillance system based on big data and artificial intelligence technologies and which can be established around sensitive sea areas and critical coastal facilities, are identified and a model proposal using this maritime big data is put forward.

show abstract

Section: Evaluation Of Alternativesmentioning

confidence: 99%

Safety–Security Analysis of Maritime Surveillance Systems in Critical Marine Areas

Şengül,

Yılmaz,

Uğurlu

2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…To replace these tasks with marine unmanned systems such as autonomous underwater vehicles (AUVs) and autonomous surface vehicles (ASVs), active research is underway to develop intelligent and autonomous unmanned systems. Although the capabilities of unmanned systems in performing marine missions are currently limited, the industrial demand for them may increase owing to decreasing employment opportunities [1]- [3]. In particular, ASVs have been widely used in various marine missions, including, shallow water surveying, ocean environmental monitoring, oceanography, structural inspection, maritime surveillance, and reconnaissance [4].…”

Section: Introductionmentioning

confidence: 99%

Multiple Autonomous Surface Vehicles for Autonomous Cooperative Navigation Tasks in a Marine Environment: Development and Preliminary Field Tests

Park¹,

Kang²,

Lee³

et al. 2023

IEEE Access

View full text Add to dashboard Cite

This paper presents the development and field testing of multiple autonomous surface vehicles (ASVs) for autonomous cooperative navigation tasks in marine environments. The developed ASVs were designed in a catamaran hull form, and various systems related to autonomous functionalities, including the electrical propulsion, wireless communication, and guidance, navigation, and control (GNC) systems, were integrated with the situational awareness sensor system. Because not all of the navigation and situational awareness sensor data can be shared owing to the large network load, the network communication and data protocol structure was designed to enhance the data management efficiency. Furthermore, for cooperative navigation between multiple ASVs, the network communication system was synchronously shared with motion information through a robot operating system (ROS) multi-master system. In particular, an autonomy framework with cooperative navigation and control was designed to enable autonomous cooperative maneuvering with multiple ASVs in a global navigation satellite system (GNSS)-denied environment. Furthermore, a cooperative navigation and control approach based on relative geometric information between vehicles was implemented in the framework, which incorporated the capabilities of following a predefined path and maintaining a specific formation based on the relative distance between ASVs. Moreover, to demonstrate the essential maneuvering and functional capabilities of the cooperative navigation and control approach of the developed ASVs, preliminary field tests were conducted in an inland water environment, and the test results are discussed in this paper.

show abstract

“…Such AI-based object detection systems enable vessels to detect and identify other vessels, objects, and potential hazards in their surroundings. By using deep-learning algorithms to identify objects, AI can help MASS in making informed navigational, speed, and course-correction decisions, thereby reducing the risk of accidents and ensuring safe operations [1][2][3][4][5][6]. Object detection is critical in MASSs because it enables vessels to detect and identify other vessels, objects, and potential hazards in their surroundings, which is essential for safe navigation, collision avoidance, and compliance with regulations [4,5].…”

Section: Introductionmentioning

confidence: 99%

“…However, in the maritime industry, AI systems are exposed to cyberthreats that arise from both unintentionally created and intentionally exploited vulnerabilities, and can have catastrophic consequences to the safety and security of MASSs and their operators [2][3][4][5]. An attacker could also manipulate the data used by a vessel's AI algorithms to cause collisions, damage, or other hazards [2][3][4][5][6][7] that can result in the vessel being redirected or shut down, thereby endangering its safety.…”

Section: Introductionmentioning

confidence: 99%

Vulnerability of Clean-Label Poisoning Attack for Object Detection in Maritime Autonomous Surface Ships

Lee

2023

JMSE

View full text Add to dashboard Cite

Artificial intelligence (AI) will play an important role in realizing maritime autonomous surface ships (MASSs). However, as a double-edged sword, this new technology brings forth new threats. The purpose of this study is to raise awareness among stakeholders regarding the potential security threats posed by AI in MASSs. To achieve this, we propose a hypothetical attack scenario in which a clean-label poisoning attack was executed on an object detection model, which resulted in boats being misclassified as ferries, thus preventing the detection of pirates approaching a boat. We used the poison frog algorithm to generate poisoning instances, and trained a YOLOv5 model with both clean and poisoned data. Despite the high accuracy of the model, it misclassified boats as ferries owing to the poisoning of the target instance. Although the experiment was conducted under limited conditions, we confirmed vulnerabilities in the object detection algorithm. This misclassification could lead to inaccurate AI decision making and accidents. The hypothetical scenario proposed in this study emphasizes the vulnerability of object detection models to clean-label poisoning attacks, and the need for mitigation strategies against security threats posed by AI in the maritime industry.

show abstract

Maritime Autonomous Vessels

Abstract: Recent years have seen the rapid development of autonomous ships [...]

Cited by 4 publications

References 17 publications

Safety–Security Analysis of Maritime Surveillance Systems in Critical Marine Areas

Safety–Security Analysis of Maritime Surveillance Systems in Critical Marine Areas

Multiple Autonomous Surface Vehicles for Autonomous Cooperative Navigation Tasks in a Marine Environment: Development and Preliminary Field Tests

Vulnerability of Clean-Label Poisoning Attack for Object Detection in Maritime Autonomous Surface Ships

Contact Info

Product

Resources

About