The review unmanned surface vehicle path planning: Based on multi-modality constraint

C Zhou, S Gu, Y Wen, Z Du, C Xiao, L Huang, M Zhu - Ocean Engineering, 2020 - Elsevier
The essence of the path planning problems is multi-modality constraint. However, most of
the current literature has not mentioned this issue. This paper introduces the research …

Energy-transport scheduling for green vehicles in seaport areas: A review on operation models

Y Lu, S Fang, T Niu, R Liao - Renewable and Sustainable Energy Reviews, 2023 - Elsevier
Internal combustion engine vehicles, although conventionally playing essential roles in
seaport logistic operation, are major sources of carbon emissions. To guarantee the “green …

A path planning strategy unified with a COLREGS collision avoidance function based on deep reinforcement learning and artificial potential field

L Li, D Wu, Y Huang, ZM Yuan - Applied Ocean Research, 2021 - Elsevier
Improving the autopilot capability of ships is particularly important to ensure the safety of
maritime navigation. The unmanned surface vessel (USV) with autopilot capability is a …

Autonomous pilot of unmanned surface vehicles: Bridging path planning and tracking

N Wang, Y Zhang, CK Ahn, Q Xu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Autonomous pilot is crucial in integrally promoting the autonomy of an unmanned surface
vehicle (USV). However, the integration mechanism of decision and control is still unclear …

An autonomous path planning model for unmanned ships based on deep reinforcement learning

S Guo, X Zhang, Y Zheng, Y Du - Sensors, 2020 - mdpi.com
Deep reinforcement learning (DRL) has excellent performance in continuous control
problems and it is widely used in path planning and other fields. An autonomous path …

Ship collision avoidance behaviour recognition and analysis based on AIS data

H Rong, AP Teixeira, CG Soares - Ocean Engineering, 2022 - Elsevier
A novel approach is proposed to automatically identify the ship collision avoidance
behaviour from ship trajectories based on an improved Sliding Window Algorithm. The …

Automatic collision avoidance of multiple ships based on deep Q-learning

H Shen, H Hashimoto, A Matsuda, Y Taniguchi… - Applied Ocean …, 2019 - Elsevier
As the number of ships for marine transportation increases with the globalisation of the world
economy, waterways are becoming more congested than before. This situation will raise the …

Multi-ship collision avoidance decision-making and coordination mechanism in Mixed Navigation Scenarios

J Liu, J Zhang, X Yan, CG Soares - Ocean engineering, 2022 - Elsevier
The increasing attention and rapid development of intelligent ship technologies makes it
possible to real applications to merchant shippings. The mixture of conventional and …

Path planning of coastal ships based on optimized DQN reward function

S Guo, X Zhang, Y Du, Y Zheng, Z Cao - Journal of Marine Science and …, 2021 - mdpi.com
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 …

Efficient COLREG-compliant collision avoidance in multi-ship encounter situations

Y Cho, J Han, J Kim - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Ship collisions are major types of maritime accidents which may involve the loss of life and
significant damage to property and the environment. Although many automatic ship collision …