[HTML][HTML] A systematic review of human-AI interaction in autonomous ship systems

E Veitch, OA Alsos - Safety science, 2022 - Elsevier
Automation is increasing in shipping. Advancements in Artificial Intelligence (AI) applications
like collision avoidance and computer vision have the potential to augment or take over the …

Path planning and collision avoidance for autonomous surface vehicles I: a review

A Vagale, R Oucheikh, RT Bye, OL Osen… - Journal of Marine …, 2021 - Springer
Autonomous surface vehicles are gaining increasing attention worldwide due to the
potential benefits of improving safety and efficiency. This has raised the interest in …

Future vision for autonomous ocean observations

C Whitt, J Pearlman, B Polagye, F Caimi… - Frontiers in Marine …, 2020 - frontiersin.org
Autonomous platforms already make observations over a wide range of temporal and spatial
scales, measuring salinity, temperature, nitrate, pressure, oxygen, biomass, and many other …

RL-RRT: Kinodynamic motion planning via learning reachability estimators from RL policies

HTL Chiang, J Hsu, M Fiser, L Tapia… - IEEE Robotics and …, 2019 - ieeexplore.ieee.org
This letter addresses two challenges facing samplingbased kinodynamic motion planning: a
way to identify good candidate states for local transitions and the subsequent …

Path planning and collision avoidance for autonomous surface vehicles II: a comparative study of algorithms

A Vagale, RT Bye, R Oucheikh, OL Osen… - Journal of Marine …, 2021 - Springer
Artificial intelligence is an enabling technology for autonomous surface vehicles, with
methods such as evolutionary algorithms, artificial potential fields, fast marching methods …

Intelligent collision avoidance algorithms for USVs via deep reinforcement learning under COLREGs

X Xu, Y Lu, X Liu, W Zhang - Ocean Engineering, 2020 - Elsevier
In the field of unmanned surface vehicles, intelligent collision avoidance technology is
essential to ensure the safety of navigating. In this paper, the problem of avoiding moving …

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 …

Route planning for an autonomous robotic vehicle employing a weight-controlled particle swarm-optimized Dijkstra algorithm

S Sundarraj, RVK Reddy, MB Basam, GH Lokesh… - IEEE …, 2023 - ieeexplore.ieee.org
An autonomous robotic vehicle (ARVs) is a self-driving vehicle that uses advanced
technologies to navigate through the environment without human intervention. These …

A real-time multi-ship collision avoidance decision-making system for autonomous ships considering ship motion uncertainty

K Zhang, L Huang, Y He, B Wang, J Chen, Y Tian… - Ocean …, 2023 - Elsevier
Ship autonomous collision avoidance has attracted increasing attention in recent years.
However, more attention is paid to the scenario in which the target ship keeps its course and …

Model-reference reinforcement learning for collision-free tracking control of autonomous surface vehicles

Q Zhang, W Pan, V Reppa - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
This paper presents a novel model-reference reinforcement learning algorithm for the
intelligent tracking control of uncertain autonomous surface vehicles with collision …