[HTML][HTML] The vagueness of COLREG versus collision avoidance techniques—A discussion on the current state and future challenges concerning the operation of …

K Wróbel, M Gil, Y Huang, R Wawruch - Sustainability, 2022 - mdpi.com
With the development of Maritime Autonomous Surface Ships (MASS), considerable
research is undertaken to secure their safety. One of the critical aspects of MASS is collision …

[HTML][HTML] COLREG and MASS: Analytical review to identify research trends and gaps in the Development of Autonomous Collision Avoidance

CH Chang, IB Wijeratne, C Kontovas, Z Yang - Ocean Engineering, 2024 - Elsevier
Abstract Maritime Autonomous Surface Ships (MASS) face regulatory challenges, with some
suggesting that the existing Collision Regulations (COLREG) present linguistic barriers for …

[Retracted] Deep Reinforcement Learning‐Based Path Control and Optimization for Unmanned Ships

D Wu, Y Lei, M He, C Zhang, L Ji - … and Mobile Computing, 2022 - Wiley Online Library
Unmanned ship navigates on the water in an autonomous or semiautonomous way, which
can be widely used in maritime transportation, intelligence collection, maritime training and …

Dynamic anti-collision A-star algorithm for multi-ship encounter situations

Z He, C Liu, X Chu, RR Negenborn, Q Wu - Applied Ocean Research, 2022 - Elsevier
For the complex multi-ship encounter scenarios, this article proposes a dynamic collision
avoidance path planning algorithm based on the A-star algorithm and ship navigation rules …

[HTML][HTML] Incorporation of AIS data-based machine learning into unsupervised route planning for maritime autonomous surface ships

H Li, Z Yang - Transportation Research Part E: Logistics and …, 2023 - Elsevier
Abstract Maritime Autonomous Surface Ships (MASS) are deemed as the future of maritime
transport. Although showing attractiveness in terms of the solutions to emerging challenges …

Ship path planning based on safety potential field in inland rivers

L Gan, Z Yan, L Zhang, K Liu, Y Zheng, C Zhou… - Ocean Engineering, 2022 - Elsevier
With the growth of the shipping trade, inland water traffic is getting more prosperous than
ever. Meanwhile, the shipping risk in inland rivers increases gradually. In this paper, a path …

Proximal policy optimization with reciprocal velocity obstacle based collision avoidance path planning for multi-unmanned surface vehicles

D Xue, D Wu, AS Yamashita, Z Li - Ocean Engineering, 2023 - Elsevier
The challenge of solving the collision avoidance path planning problem lies in adaptively
selecting the optimal agent velocity in complex scenarios full of reciprocal obstacles. To …

Uninterrupted path planning system for Multi-USV sampling mission in a cluttered ocean environment

S MahmoudZadeh, A Abbasi, A Yazdani, H Wang… - Ocean engineering, 2022 - Elsevier
This paper presents an uninterrupted collision-free path planning system that facilitates the
operational performance of multiple unmanned surface vehicles (USVs) in an ocean …

A partially observable multi-ship collision avoidance decision-making model based on deep reinforcement learning

K Zheng, X Zhang, C Wang, M Zhang, H Cui - Ocean & Coastal …, 2023 - Elsevier
Unmanned ships have drawn widespread attention for their potential to enhance
navigational safety, minimize human errors, and improve shipping efficiency. Nevertheless …

[HTML][HTML] Maritime traffic partitioning: An adaptive semi-supervised spectral regularization approach for leveraging multi-graph evolutionary traffic interactions

X Xin, K Liu, H Li, Z Yang - Transportation Research Part C: Emerging …, 2024 - Elsevier
Maritime situational awareness (MSA) has long been a critical focus within the domain of
maritime traffic surveillance and management. The increasing complexities of ship traffic …