|
|
|
|
|
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 (...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bo Xiang and Yongqiang Zhuo
Effective and timely collision avoidance decision support is essential for super-large vessels navigating in port waters. To guarantee the navigational safety of super-large vessels, this work proposes a collision avoidance decision support method based ...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Diju Gao, Peng Zhou, Weifeng Shi, Tianzhen Wang and Yide Wang
A new method is proposed for the dynamic obstacle avoidance problem of unmanned surface vehicles (USVs) under the international regulations for preventing collisions at sea (COLREGs), which applies the particle swarm optimization algorithm (PSO) to the d...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|