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Nicolás Molina-Padrón, Francisco Cabrera-Almeida, Víctor Araña-Pulido and Beatriz Tovar
Every year, more than 1500 containers are lost around the world. These accidents are increasingly more common due to the boom of the shipping industry, presenting serious consequences for marine ecosystems and maritime navigation. This problem has alerte...
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Samuele Bumbaca and Enrico Borgogno-Mondino
This work was aimed at developing a prototype system based on multispectral digital photogrammetry to support tests required by international regulations for new Plant Protection Products (PPPs). In particular, the goal was to provide a system addressing...
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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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Shunan Hu, Shenpeng Tian, Jiansen Zhao and Ruiqi Shen
In order to ensure the safe navigation of USVs (unmanned surface vessels) and real-time collision avoidance, this study conducts global and local path planning for USVs in a variable dynamic environment, while local path planning is proposed under the co...
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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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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 ...
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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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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...
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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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