A concept of critical safety area applicable for an obstacle-avoidance process for manned and autonomous ships
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TLDR
In this article, an improved concept of the CADCA (Collision Avoidance Dynamic Critical Area) is introduced for the case of ship allision, which can be used to appoint a position of no-return in a close-quarters situation, so as to determine the time and distance of the last-minute maneuver.About:
This article is published in Reliability Engineering & System Safety.The article was published on 2021-10-01 and is currently open access. It has received 40 citations till now. The article focuses on the topics: Obstacle avoidance & Rudder.read more
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A machine learning method for the evaluation of ship grounding risk in real operational conditions
TL;DR: In this paper , a machine learning method was used to evaluate ship grounding risk in real environmental conditions using big data streams from Automatic Identification System (AIS), nowcast data, and seafloor depth data from the General Bathymetric Chart of the Oceans (GEBCO).
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Technical Sustainability of Cloud-Based Blockchain Integrated with Machine Learning for Supply Chain Management
TL;DR: A case study was used to illustrate how the technical sustainability is achieved by applying the proposed technical design to the real-time detection of the maritime risk management and the implications for further research direction are discussed.
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Know your safety indicator – A determination of merchant vessels Bow Crossing Range based on big data analytics
TL;DR: In this paper , the Bow Crossing Range (BCR) was investigated during routine operations of merchant ships, and the results indicated that BCR is strongly related to the type of navigational area (open sea or restricted waters) but not with the dimensions or speed of ships.
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Accident susceptibility index for a passenger ship-a framework and case study
Jakub Montewka,Jakub Montewka,Teemu Manderbacka,Pekka Ruponen,Markus Tompuri,Mateusz Gil,Spyros Hirdaris +6 more
TL;DR: In this paper, the authors proposed a framework for assessing the accident susceptibility of a ship in operation involved in open-sea and coastal navigation, based on observable and relevant factors, known to affect the navigator's performance, and as a consequence accident probability.
Journal ArticleDOI
Accident susceptibility index for a passenger ship-a framework and case study
TL;DR: In this article , the authors proposed a framework for assessing the accident susceptibility of a ship in operation involved in open-sea and coastal navigation, based on observable and relevant factors, known to affect the navigator's performance, and as a consequence accident probability.
References
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Fiji: an open-source platform for biological-image analysis
Johannes Schindelin,Ignacio Arganda-Carreras,Erwin Frise,Verena Kaynig,Mark Longair,Tobias Pietzsch,Stephan Preibisch,Curtis Rueden,Stephan Saalfeld,Benjamin Schmid,Jean-Yves Tinevez,Daniel J. White,Volker Hartenstein,Kevin W. Eliceiri,Pavel Tomancak,Albert Cardona +15 more
TL;DR: Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis that facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system.
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A review of conflict detection and resolution modeling methods
James K. Kuchar,Lei Yang +1 more
TL;DR: A survey of 68 CDR modeling methods, several of which are currently in use or under operational evaluation, and a framework that articulates the basic functions of CDR is used to categorize the models.
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A statistical study of ship domains
TL;DR: In this paper, the concept of a ship domain has been considered, which may be defined as the effective area around a ship which a navigator would like to keep free with respect to other ships and stationary objects.
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A Review on Improving the Autonomy of Unmanned Surface Vehicles through Intelligent Collision Avoidance Manoeuvres
TL;DR: The integration of the International Regulations for Avoiding Collisions at Sea within the obstacle avoidance protocols seeks to prevent maritime accidents attributed to human error.
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Autonomous ship collision avoidance navigation concepts, technologies and techniques
TL;DR: The areas of AI for autonomous ship collision avoidance are examined in this paper are evolutionary algorithms, fuzzy logic, expert systems, and neural networks, as well as a combination of them (hybrid system).