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An Outlook on the Future Marine Traffic Management System for Autonomous Ships

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Networking with multi‐service GEO satellites: cross‐layer approaches for bandwidth allocation
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Survey on Autonomous Surface Vessels: Part II - Categorization of 60 Prototypes and Future Applications
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Intelligent collision avoidance algorithms for USVs via deep reinforcement learning under COLREGs
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Modeling, identification, and adaptive maneuvering of CyberShip II: A complete design with experiments
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A collision avoidance algorithm for ship guidance applications
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LEO Satellite Constellation for Internet of Things
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Satellite Machine-Type Communication for Maritime Internet of Things: An Interference Perspective
inferredcites →https://doi.org/10.1109/access.2020.2990830openalex-snapshot
Maritime IoT: An Architectural and Radio Spectrum Perspective
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COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle Using Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/access.2020.3044040openalex-snapshot
A Survey of Technologies for Unmanned Merchant Ships
inferredcites →https://doi.org/10.1109/access.2021.3061929openalex-snapshot
Ontology-Based Fault Tree Analysis Algorithms in a Fuzzy Environment for Autonomous Ships
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Performance assessment of the Smart mAritime saTellite terminal for mUltimedia seRvices and conteNts (SATURN) system
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Internet of Things application layer protocol analysis over error and delay prone links
inferredcites →https://doi.org/10.1109/asms-spsc.2014.6934574openalex-snapshot
A study on TCP error recovery interaction with Random Access satellite schemes
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Nonlinear formation control of marine craft with experimental results
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A Comparative Study of Containers and Virtual Machines in Big Data Environment
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Machine-Type Communication for Maritime Internet of Things: A Design
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Simulated Photorealistic Deep Learning Framework and Workflows to Accelerate Computer Vision and Unmanned Aerial Vehicle Research
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inferredcites →https://doi.org/10.1109/icra.2018.8460632openalex-snapshot
Design, Modeling, and Nonlinear Model Predictive Tracking Control of a Novel Autonomous Surface Vehicle
inferredcites →https://doi.org/10.1109/ictc.2017.8191000openalex-snapshot
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Experimental video broadcasting in DVB-RCS/S2 with land mobile satellite channel: A reliability issue
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Satellite Communications Supporting Internet of Remote Things
inferredcites →https://doi.org/10.1109/jiot.2017.2767381openalex-snapshot
Edge-Centric Distributed Discovery and Access in the Internet of Things
inferredcites →https://doi.org/10.1109/jiot.2018.2868439openalex-snapshot
Enabling the Maritime Internet of Things: CoAP and 6LoWPAN Performance Over VHF Links
inferredcites →https://doi.org/10.1109/jsac.2018.2832799openalex-snapshot
Modeling Reliable M2M/IoT Traffic Over Random Access Satellite Links in Non-Saturated Conditions
inferredcites →https://doi.org/10.1109/mcom.2011.5741148openalex-snapshot
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inferredcites →https://doi.org/10.1109/metroaerospace48742.2020.9160183openalex-snapshot
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inferredcites →https://doi.org/10.1109/mwc.001.1900322openalex-snapshot
Maritime Internet of Things: Challenges and Solutions
inferredcites →https://doi.org/10.1109/oceans.2004.1406499openalex-snapshot
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inferredcites →https://doi.org/10.1109/smartcomp50058.2020.00022openalex-snapshot
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inferredcites →https://doi.org/10.1109/smc.2019.8913969openalex-snapshot
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inferredcites →https://doi.org/10.1109/taes.2012.6324672openalex-snapshot
High Efficiency Satellite Multiple Access Scheme for Machine-to-Machine Communications
inferredcites →https://doi.org/10.1109/taes.2020.2989068openalex-snapshot
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inferredcites →https://doi.org/10.1109/tcomm.2020.2990993openalex-snapshot
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inferredcites →https://doi.org/10.1109/tii.2021.3115119openalex-snapshot
Cloud-Based Digital Twinning for Structural Health Monitoring Using Deep Learning
inferredcites →https://doi.org/10.1109/tits.2020.2983614openalex-snapshot
SAPIENT: Enabling Real-Time Monitoring and Control in the Future Communication Infrastructure of Air Traffic Management
inferredcites →https://doi.org/10.1109/ucc-companion.2018.00069openalex-snapshot
Maritime IoT Solutions in Fog and Cloud
inferredcites →https://doi.org/10.1115/1.4045372openalex-snapshot
Deep Learning Toward Autonomous Ship Navigation and Possible COLREGs Failures
inferredcites →https://doi.org/10.1115/omae2018-77672openalex-snapshot
Autonomous Ship Navigation Under Deep Learning and the Challenges in COLREGs
inferredcites →https://doi.org/10.1142/s0219622008003198openalex-snapshot
USE OF BAYESIAN METHOD FOR ASSESSING VESSEL TRAFFIC RISKS AT SEA
inferredcites →https://doi.org/10.1177/1475921720976986openalex-snapshot
Augmented reality for enhanced visual inspection through knowledge-based deep learning
inferredcites →https://doi.org/10.1364/ofc.2016.w2a.42openalex-snapshot
End-to-End SDN Orchestration of IoT Services Using an SDN/NFV-enabled Edge Node
inferredcites →https://doi.org/10.23919/ecc.2019.8796033openalex-snapshot
Eco-VTF: Fuel-Efficient Vessel Train Formations for All-Electric Autonomous Ships
inferredcites →https://doi.org/10.23919/ecc.2019.8796207openalex-snapshot
A COLREG-Compliant Ship Collision Avoidance Algorithm
inferredcites →https://doi.org/10.24868/icmet.oman.2019.028openalex-snapshot
Autonomous Ship Navigation Methods: A Review
inferredcites →https://doi.org/10.24868/issn.2515-818x.2018.017openalex-snapshot
Enhanced Navigation at Sea: an augmented reality-based tool for bridge operators
inferredcites →https://doi.org/10.3390/app11020821openalex-snapshot
Deep Learning-Based Applications for Safety Management in the AEC Industry: A Review
inferredcites →https://doi.org/10.3390/jmse9090996openalex-snapshot
Development of an Augmented Reality Concept for Icebreaker Assistance and Convoy Operations
inferredcites →https://doi.org/10.3390/s19030693openalex-snapshot
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inferredcites →https://doi.org/10.3390/s20061761openalex-snapshot
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inferredcites →https://doi.org/10.4173/mic.2004.1.1openalex-snapshot
A Nonlinear Ship Manoeuvering Model: Identification and adaptive control with experiments for a model ship

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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