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Shibo Zhou, Zhizheng Wu and Lüzhen Ren
In the existing research on the intelligent navigation of ships, navigation route planning often regards light buoys as fixed obstructions. However, due to factors such as water ripples, the position of the buoys keeps periodically changing. If the buoys...
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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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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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Weiqiang Wang, Liwen Huang, Kezhong Liu, Xiaolie Wu and Jingyao Wang
It is crucial to develop a COLREGs-compliant intelligent collision avoidance system for the safety of unmanned ships during navigation. This paper proposes a collision avoidance decision approach based on the deep reinforcement learning method. A modifie...
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Zhiyuan Wang, Yong Wu, Xiumin Chu, Chenguang Liu and Mao Zheng
Collision risk identification is an important basis for intelligent ship navigation decision-making, which evaluates results that play a crucial role in the safe navigation of ships. However, the curvature, narrowness, and restricted water conditions of ...
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Eunkyu Lee, Junaid Khan, Umar Zaman, Jaebin Ku, Sanha Kim and Kyungsup Kim
With the global advancement of maritime autonomous surface ships (MASS), the critical task of verifying their key technologies, particularly in challenging conditions, becomes paramount. This study introduces a synthetic maritime traffic generation syste...
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Yifan Shang, Wanneng Yu, Guangmiao Zeng, Huihui Li and Yuegao Wu
Image recognition is vital for intelligent ships? autonomous navigation. However, traditional methods often fail to accurately identify maritime objects? spatial positions, especially under electromagnetic silence. We introduce the StereoYOLO method, an ...
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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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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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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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Jiabao Yu, Jiawei Chen, Ying Chen, Zhiguo Zhou and Junwei Duan
Although broad reinforcement learning (BRL) provides a more intelligent autonomous decision-making method for the collision avoidance problem of unmanned surface vehicles (USVs), the algorithm still has the problem of over-estimation and has difficulty c...
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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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Yusi Zhou, Nailong Wu, Haodong Yuan, Feng Pan, Zhiyong Shan and Chao Wu
In this paper, an intelligent control scheme of formation collision avoidance and iterative docking is proposed for full-actuated unmanned surface vehicles (USVs). The artificial potential field method is integrated into the partial differential equation...
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Zhiyuan Sun, Hanbing Sun, Ping Li and Jin Zou
A self-organizing cooperation strategy for multiple unmanned surface vessels (USVs) to pursue intelligent evaders in the case of a dynamic obstacle vessel is proposed. Firstly, a self-organizing cooperative hunting strategy is proposed to form an Apollon...
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Yingjie Tang, Junmin Mou, Linying Chen and Yang Zhou
Through the continuous development of intellectualization, considering the lifecycle of ships, the future of a waterborne traffic system is bound to be a mixed scenario where intelligent ships of different autonomy levels co-exist, i.e., mixed waterborne...
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Xiaoyuan Wang, Gang Wang, Quanzheng Wang, Junyan Han, Longfei Chen, Bin Wang and Huili Shi
As one of the key technologies restricting the development of intelligent ships, autonomous collision avoidance has attracted the attention of many scholars all over the world. Existing research on collision-avoidance behavior focuses more on collision r...
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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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Xiaoyu Yuan, Chengchang Tong, Guoxiang He and Hongbo Wang
In recent years, the rapid development of artificial intelligence algorithms has promoted the intelligent transformation of the ship industry; unmanned surface vessels (USVs) have become a widely used representative product. The dynamic window approach (...
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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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Shilei Lyu, Qiafeng Li, Zhen Li, Hengmao Liang, Jiayu Chen, Yuanyuan Liu and Huixian Huang
This study addressed the issue of the real-time monitoring and control of the transporter in a mountain orchard terrain characterized by varying topography, closed canopy, shade, and other environmental factors. This study involved independent research a...
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