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Bing Wang, Yixiong He, Weixuan Hu, Junmin Mou, Liling Li, Ke Zhang and Liwen Huang
A great number of collision accidents can be attributed to incongruous collision-avoidance actions between the give-way vessel and the stand-on vessel in a crossing or overtaking situation. If the give-way vessel does not take appropriate collision-avoid...
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Naifeng Wen, Yundong Long, Rubo Zhang, Guanqun Liu, Wenjie Wan and Dian Jiao
This research introduces a two-stage deep reinforcement learning approach for the cooperative path planning of unmanned surface vehicles (USVs). The method is designed to address cooperative collision-avoidance path planning while adhering to the Interna...
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Ting Sun, Cheng Liu, Shuang Xu, Qizhi Hu and Cheng Li
In crowded waters, the incidence of collision accidents of multiple vessels has increased significantly, most of which can be ascribed to human factors, particularly, human decision-making failures and inobservance with International Regulations for Prev...
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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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Siyu Guo, Xiuguo Zhang, Yiquan Du, Yisong Zheng and Zhiying Cao
Path planning is a key issue in the field of coastal ships, and it is also the core foundation of ship intelligent development. In order to better realize the ship path planning in the process of navigation, this paper proposes a coastal ship path planni...
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Yuyang Huang, Wei Li, Jun Ning and Zhihui Li
This paper investigates the cooperative formation trajectory tracking problem for heterogeneous unmanned aerial vehicle (UAV) and multiple unmanned surface vessel (USV) systems with collision avoidance performance. Firstly, a formation control protocol b...
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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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Shengke Ni, Zhengjiang Liu and Yao Cai
In this article, a ship manoeuvrability-based simulation for ship navigation in collision situations is established. Under the general requirement from the Convention on the International Regulations for Preventing Collisions at Sea (COLREGs) and good se...
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Fei Lai and Xiaoyu Wang
A pre-emptive braking control method is proposed to improve the stability of autonomous vehicles during emergency collision avoidance, aiming to imitate the realistic human driving experience. A linear model predictive control is used to derive the front...
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Dugan Um, Prasad Nethala and Hocheol Shin
In this paper, a hierarchical reinforcement learning (HRL) architecture, namely a ?Hierarchical Deep Deterministic Policy Gradient (HDDPG)? has been proposed and studied. A HDDPG utilizes manager and worker formation similar to other HRL structures. Howe...
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Aydin Cetin and Erhan Bulbul
The behavior of an agent may be simple or complex depending on its role. Behavioral simulation using agents can have multiple approaches that have different advantages and disadvantages. By combining different behaviors in a hierarchical model, situation...
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Dejan ?agar, Matija Svetina, Andrej Ko?ir and Franc Dimc
This paper is intended to give an overview of the experiments to evaluate the cognitive load of the officer on watch (OOW) during a collision avoidance maneuver in a full-mission simulator. The main goal is to investigate the possibilities of recording t...
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Jian Zhou, Chenxu Wang and Anmin Zhang
Unmanned Surface Vehicles (USVs) are intelligent machines that have been widely studied in recent years. The safety of USVs? activities is a priority issue in their applications; one effective method is to delimit an exclusive safety domain around the US...
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