A review of artificial neural networks applications in maritime industry

N Assani, P Matić, N Kaštelan, IR Čavka - IEEE access, 2023 - ieeexplore.ieee.org
Artificial neural networks (ANN) are a data driven tool that has been used for modeling,
prediction, optimization, classification, diagnostics, decision-making, etc., in various systems …

A primer on underwater quantum key distribution

P Paglierani, AH Fahim Raouf… - Quantum …, 2023 - Wiley Online Library
The growing importance of underwater networks (UNs) in mission‐critical activities at sea
enforces the need for secure underwater communications (UCs). Classical encryption …

[HTML][HTML] High-speed underwater optical wireless communication with advanced signal processing methods survey

C Fang, S Li, Y Wang, K Wang - Photonics, 2023 - mdpi.com
Underwater wireless communication (UWC) technology has attracted widespread attention
in the past few years. Compared with conventional acoustic underwater wireless …

Binocular vision-based motion planning of an AUV: A deep reinforcement learning approach

J Yan, K You, W Cao, X Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vision-based motion planning of autonomous underwater vehicles (AUVs) is regarded as a
critical requirement for marine intelligent transportation systems. However, the limited vision …

Reinforcement Learning-based path tracking for underactuated UUV under intermittent communication

Z Liu, W Cai, M Zhang - Ocean Engineering, 2023 - Elsevier
This paper studies the path control of a six-degree-of-freedom underactuated Unmanned
Underwater Vehicle (UUV) under limited communication conditions. Considering the large …

Pointing error control of underwater wireless optical communication on mobile platform

Y Weng, T Matsuda, Y Sekimori… - IEEE Photonics …, 2022 - ieeexplore.ieee.org
This letter discusses pointing errors in underwater optical communication caused by
environmental disturbances and uncertainties that cannot be well measured and controlled …

Establishment of line-of-sight optical links between autonomous underwater vehicles: Field experiment and performance validation

Y Weng, T Matsuda, Y Sekimori, J Pajarinen… - Applied Ocean …, 2022 - Elsevier
Establishing a line-of-sight link between autonomous underwater vehicles (AUVs) is an
unavoidable challenge for realizing high data rate optical communication in ocean …

Performance analysis for AUV-based UWOC systems with uplink NOMA over thermocline turbulence channels

G Li, P Wang, S Li, W Pang, Y Song… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Autonomous underwater vehicles (AUVs) play an increasing important role in deep-sea
exploration these years. This work first presents comprehensive analyses on AUV-based …

[HTML][HTML] Autonomous Underwater Vehicle Docking Under Realistic Assumptions Using Deep Reinforcement Learning

N Palomeras, P Ridao - Drones, 2024 - mdpi.com
This paper addresses the challenge of docking an Autonomous Underwater Vehicle (AUV)
under realistic conditions. Traditional model-based controllers are often constrained by the …

Underwater Target Tracking Based on Hierarchical Software-Defined Multi-AUV Reinforcement Learning: A Multi-AUV Advantage-Attention Actor-Critic Approach

S Zhu, G Han, C Lin, Q Tao - IEEE Transactions on Mobile …, 2024 - ieeexplore.ieee.org
With the rapid development of underwater robots, underwater communication techniques,
etc., the Autonomous Underwater Vehicle (AUV) cluster network has emerged as a …