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Ke Zhang, Liwen Huang, Xiao Liu, Jiahao Chen, Xingya Zhao, Weiguo Huang and Yixiong He
In the last few years, autonomous ships have attracted increasing attention in the maritime industry. Autonomous ships with an autonomous collision avoidance capability are the development trend for future ships. In this study, a ship manoeuvring process...
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Yun Li and Haiyu Zhang
To ensure navigation safety, unmanned surface vehicles (USVs) need to have autonomous collision avoidance capability. A large number of studies on ship collision avoidance are available, and most of these papers assume that the target ships keep straight...
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Jiyu Yao and Longhui Gang
Ship path planning is one of the key technologies for ship automation. Establishing a cooperative collision avoidance (CA) path for multi-ship encounters is of great value to maritime intelligent transportation. This study aims to solve the problem of mu...
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Jeong-Bin Yim, Deuk-Jin Park and Ik-Hyun Youn
In order to prevent ship collisions, it is important to understand the behavior of navigators that leads to these collisions. The main cause of marine accidents in the Republic of Korea is attributed to navigator error, particularly in collisions. Hence,...
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Jiagen Yu, Zhengjiang Liu and Xianku Zhang
The problem of ship collision avoidance path planning is one of the key problems in the ship motion control field. Aiming at the high computational time problem of path planning in multi-ship encounter situations and the impact of the target ship?s actio...
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Hongguang Lyu, Zengrui Hao, Jiawei Li, Guang Li, Xiaofeng Sun, Guoqing Zhang, Yong Yin, Yanjie Zhao and Lunping Zhang
Autonomous decision-making for ships to avoid collision is core to the autonomous navigation of intelligent ships. In recent years, related research has shown explosive growth. However, owing to the complex constraints of navigation environments, the Con...
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Yihan Niu, Feixiang Zhu, Moxuan Wei, Yifan Du and Pengyu Zhai
Maritime Autonomous Surface Ships (MASS) are becoming of interest to the maritime sector and are also on the agenda of the International Maritime Organization (IMO). With the boom in global maritime traffic, the number of ships is increasing rapidly. The...
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Yixiong He, Zijun Du, Liwen Huang, Deqing Yu and Xiao Liu
A maneuvering decision-making model based on time series rolling and feedback compensation methods is proposed to solve the problem of high traffic risk in Chengshantou traffic separation scheme (TSS) waters. Firstly, a digital traffic environment model ...
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Tanja Brcko and Bla? Luin
The increasing traffic and complexity of navigation at sea require advanced decision support systems to ensure greater safety. In this study, we propose a novel decision support system that employs fuzzy logic to improve situational awareness and to assi...
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Xiao Yang and Qilong Han
The avoidance of collisions among ships requires addressing various factors such as perception, decision-making, and control. These factors pose many challenges for autonomous collision avoidance. Traditional collision avoidance methods have encountered ...
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Guangyu Zhang, Yan Wang, Jian Liu, Wei Cai and Hongbo Wang
Due to the complex hydrology and narrow channels of inland rivers, ship collision accidents occur frequently. The traditional collision-avoidance algorithms are often aimed at sea areas, and not often at inland rivers. To solve the problem of inland-ship...
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Pengyu Zhai, Yingjun Zhang and Wang Shaobo
Ship collisions often result in huge losses of life, cargo and ships, as well as serious pollution of the water environment. Meanwhile, it is estimated that between 75% and 86% of maritime accidents are related to human factors. Thus, it is necessary to ...
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Zhongxian Zhu, Hongguang Lyu, Jundong Zhang and Yong Yin
A novel collision avoidance (CA) algorithm was proposed based on the modified artificial potential field (APF) method, to construct a practical ship automatic CA system. Considering the constraints of both the International Regulations for Preventing Col...
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Minahil Raza, Hanna Prokopova, Samir Huseynzade, Sepinoud Azimi and Sebastien Lafond
The use of digital twins for the development of Autonomous Maritime Surface Vessels (AMSVs) has enormous potential to resolve the increasing need for water-based navigation and safety at the sea. Aiming at the problem of lack of broad and integrated digi...
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Jinfen Zhang, Han Zhang, Jiongjiong Liu, Da Wu and C. Guedes Soares
A two-stage ship path planning method is proposed, based on the Rapid-exploring Random Tree (RRT) algorithm, which is composed of global path planning and local path planning, addressing the important problem of finding an economical and safe path from s...
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Xiangyu Chen, Miao Gao, Zhen Kang, Jian Zhou, Shuai Chen, Zihao Liao, Haixin Sun and Anmin Zhang
It is essential to promote the intelligence and autonomy of Maritime Autonomous Surface Ships (MASSs). This study proposed an automatic collision-avoidance method based on an improved Artificial Potential Field (APF) with the formation of MASSs (F-MASSs)...
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Chen Chen, Feng Ma, Xiaobin Xu, Yuwang Chen and Jin Wang
Ships are special machineries with large inertias and relatively weak driving forces. Simulating the manual operations of manipulating ships with artificial intelligence (AI) and machine learning techniques becomes more and more common, in which avoiding...
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Taewoong Hwang and Ik-Hyun Youn
The collision avoidance system is one of the core systems of MASS (Maritime Autonomous Surface Ships). The collision avoidance system was validated using scenario-based experiments. However, the scenarios for the validation were designed based on COLREG ...
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Jinwan Park, Jungsik Jeong and Youngsoo Park
According to the statistics of maritime accidents, most collision accidents have been caused by human factors. In an encounter situation, the prediction of ship?s trajectory is a good way to notice the intention of the other ship. This paper proposes a m...
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Jia-hui Shi and Zheng-jiang Liu
There is a collection of a large amount of automatic identification system (AIS) data that contains ship encounter information, but mining the collision avoidance knowledge from AIS big data and carrying out effective machine learning is a difficult prob...
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