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Wyszukujesz frazę "maritime unmanned navigation" wg kryterium: Temat


Wyświetlanie 1-8 z 8
Tytuł:
Interaction of Harsh Weather Operation and Collision Avoidance in Autonomous Navigation
Autorzy:
Burmeister, H.-C.
Bruhn, W. C.
Walther, L.
Powiązania:
https://bibliotekanauki.pl/articles/116663.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Safety of Navigation
collision avoidance
autonomous navigation
harsh weather operation
COLREGs
weather routeing
maritime unmanned navigation
Opis:
Taking into account the autonomous navigation system design and today’s state of the art navigation with regards to weather and collision avoidance this paper presents the architecture of the integrated approach, its links to existing rules and regulations and the test scenarios. These demonstrate how safe and efficient navigation of autonomous vessels can be achieved by showing the module's interaction and validating the feasibility of the approach. These analyses will be based on historical traffic data sets as well as simulation results.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2015, 9, 1; 31-40
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Quantitative processing of situation awareness for autonomous ships navigation
Autorzy:
Zhou, X. Y.
Liu, Z. J.
Wu, Z. L.
Wang, F. W.
Powiązania:
https://bibliotekanauki.pl/articles/117424.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
autonomous vessel
autonomous ship
autonomous ships navigation
situation awareness (SA)
quantitative processing
navigation safety
remotely controlled vessel
maritime unmanned navigation through intelligence in networks (MUNIN)
Opis:
The first ever attempt at fully autonomous dock-to-dock operation has been tested and demonstrated successfully at the end of 2018. The revolutionary shift is feared to have a negative impact on the safety of navigation and the getting of real-time situation awareness. Especially, the centralized context onboard could be changed to a distributed context. In navigation safety domain, monitoring, control, assessment of dangerous situations, support of operators of decision-making support system should be implemented in real time. In the context of autonomous ships, decision-making processes will play an important role under such ocean autonomy, therefore the same technologies should consist of adequate system intelligence. At the same time, situation awareness is the key element of the decision-making processes. Although there is substantial research on situation awareness measurement techniques, they are not suitable to directly execute quantitative processing for the situation awareness of autonomous ships navigation. Hence, a novel quantitative model of situation awareness is firstly proposed based on the system safety control structure of remotely controlled vessel. The data source is greatly limited, but the main result still indicates that the probability of operator lose adequate situation awareness of the autonomous ship is significantly higher than the conventional ship. Finally, the paper provides a probabilistic theory and model for high-level abstractions of situation awareness to guide future evaluation of the navigation safety of autonomous ships.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 1; 25-31
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Simulation-Augmented Methods for Safe and Efficient Manoeuvres in Harbour Areas
Autorzy:
Benedict, K.
Kirchhoff, M.
Gluch, M.
Fischer, S.
Schaub, M.
Baldauf, M.
Powiązania:
https://bibliotekanauki.pl/articles/116369.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
manoeuvres in harbour areas
harbour areas
Simulation-Augmented Manoeuvring Design and Monitoring (SAMMON)
Fast-Time Manoeuvring Simulation Technology (FTS)
Co-operative Ship Operation in Integrated Maritime Traffic Systems (COSINUS)
Maritime Unmanned Navigation through Intelligence in Networks (MUNIN)
Innovative Ship Simulation and Maritime Systems (ISSIMS) Navigational Methods Development
Opis:
Safety of navigation is especially challenging and critical when a ship approaches and manoeuvres in harbour areas. Improving the safety especially in the first and last phase of a voyage is crucial and requires measures addressing both the human and technical-technological elements including support systems that shall provide human operators with information relevant for decision making. The present situation is characterized by the introduction of numerous sophisticated technical and support systems often integrated with several components becoming increasingly complex. On the users end, changes are not that obvious and not that rapid as for technology. However, new approaches are under development or already in use. They are characterized by applying and adapting solutions from other transport modes. In this way, tasks and procedures on ships, that are highly safety-relevant and containing high portions of manoeuvring activities have been changed to high back-up procedures as in air planes. For port manoeuvres e.g. the system of pilot/co-pilot was introduced on ferries in a sense that one officer is operating and the other is monitoring and checking the safe performance. In cruise shipping, new structures replacing the traditional rank-based with a flexible system based on job functions. This system creates a kind of a safety net around the person conning the vessel. Each operation is cross checked before execution by one or two other persons. The first obvious consequence is higher costs due to doubling personnel. On the other hand there is also a need for a technology appropriately supporting the checking officer by enabling her or him to monitor what the conning officer is doing. “Fast-Time Manoeuvring Simulation Technology” (FTS) developed at the Institute for Innovative Ship Simulation and Maritime Systems (ISSIMS) has huge potential to fulfil this task. FTS calculates within one second of computing time up to 1000 seconds of real manoeuvring time by a very complex ship-dynamic simulation model for rudder, engine and thruster manoeuvres. It enables prompt prediction of all manoeuvres carried out by the conning officer for the observing officer, too. Predictions of path and motion status allow all officers to see whether the manoeuvring actions have at least the correct tendency or indicating the need for corrections. This new type of support is called Simulation-Augmented Manoeuvring Design and Monitoring (SAMMON) – it allows not only overlooking the next manoeuvring segment ahead but also for the following or even for series of manoeuvring segments. This technology has been used within two research projects: COSINUS (Co-operative Ship Operation in Integrated Maritime Traffic Systems) set out for implementing FTS into integrated ship bridges and to also communicate the manoeuvre plans and display it to VTS centres. Within the European project MUNIN (Maritime Unmanned Navigation through Intelligence in Networks) this technology has been used to investigate if it is possible to steer autonomous ships, in case it would be necessary.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2016, 10, 2; 193-201
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Intelligent autonomous ship navigation using multi-sensor modalities
Autorzy:
Wright, R.G.
Powiązania:
https://bibliotekanauki.pl/articles/117337.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
maritime autonomous surface ships (MASS)
artificial intelligence (AI)
intelligent autonomous ship navigation
autonomous ship
autonomous ships navigation
multiSensor modalities
unmanned ship
maritime domain awareness (MDA)
Opis:
This paper explores the use of machine learning and deep learning artificial intelligence (AI) techniques as a means to integrate multiple sensor modalities into a cohesive approach to navigation for autonomous ships. Considered is the case of a fully autonomous ship capable of making decisions and determining actions by itself without active supervision on the part of onboard crew or remote human operators. These techniques, when combined with advanced sensor capabilities, have been touted as a means to overcome existing technical and human limitations as unmanned and autonomous ships become operational presently and in upcoming years. Promises of the extraordinary capabilities of these technologies that may even exceed those of crewmembers for decision making under comparable conditions must be tempered with realistic expectations as to their ultimate technical potential, their use in the maritime domain, vulnerabilities that may preclude their safe operation; and methods for development, integration and test. The results of research performed by the author in specific applications of machine learning and AI to shipping are presented citing key factors that must be achieved for certification of these technologies as being suitable for their intended purpose. Recommendations are made for strategies to surmount present limitations in the development, evaluation and deployment of intelligent maritime systems that may accommodate future technological advances. Lessons learned that may be applied to improve safety of navigation for conventional shipping are also provided.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 3; 503-510
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Conversion timing of seafarer’s decision-making for unmanned ship navigation
Autorzy:
Zhang, R. L.
Furusho, M.
Powiązania:
https://bibliotekanauki.pl/articles/116734.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
maritime safety
unmanned ship
unmanned ship navigation
on-board decision-making
decision-making algorithm
conversion timing
bayesian risk prediction
seafarers
Opis:
The aim of this study is to construct an unmanned ship swarms monitoring model to improve autonomous decision-making efficiency and safety performance of unmanned ship navigation. A framework is proposed to determine the relationship between on-board decision-making and shore side monitoring, the process of ship data detection, tracking, analysis and loss, and the application of decision-making algorithm, to discuss the different risk responses of specific unmanned ship types under various latent hazard environments, particularly in terms of precise conversion timing in switching over to remote control and full manual monitoring, to ensure safe navigation when the capability of automatic risk response inadequate. This frame-work makes it easier to train data and the adjustment for machine learning based on Bayesian risk prediction. It can be concluded that the automation level can be increased and the workload of shore-based seafarers can be reduced easily.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2017, 11, 3; 463-468
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Merging conventionally navigating ships and MASS - Merging VTS, FOC and SCC?
Autorzy:
Baldauf, M.
Fischer, S.
Kitada, M.
Mehdi, R. A.
Al-Quhali, M. A.
Fiorini, M.
Powiązania:
https://bibliotekanauki.pl/articles/117306.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Maritime Autonomous Surface Ships (MASS)
Vessel Traffic Service (VTS)
e-Navigation
fleet operation centre (FOC)
International Maritime Organization (IMO)
ship control centre (SCC)
unmanned shipping
unmanned ship
Opis:
Current maritime transportation and shipping is characterized by rapid technological developments effecting the basic concepts of operating ships and even changing traditional paradigms of controlling ships. The e-Navigation concept of the International Maritime Organization (IMO) specifically aims at more comprehensive and reliable support of the human operators on-board and ashore. However, autonomous unmanned ships remote controlled or even autonomously navigating are expected to come soon. In this paper, selected operational aspects of maritime traffic merging conventional and unmanned remote controlled ships in coastal areas are discussed. Furthermore, some preliminary results of experimental simulation studies into a future scenario of maritime traffic are presented and preliminary conclusions in respect to job profiling and training requirements are discussed.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 3; 495-501
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Trends and challenges in unmanned surface vehicles (USV): From survey to shipping
Autorzy:
Barrera, C.
Padron, I.
Luis, F. S.
Llinas, O.
Powiązania:
https://bibliotekanauki.pl/articles/1841556.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
unmanned vehicles
unmanned surface vehicles
guidance
navigation and control
Oceanic Platform of the Canary Islands
MUNIN project
maritime autonomous surface ships
advanced autonomous waterborne application
association for unmanned systems international
Opis:
Autonomy and unmanned systems have evolved significantly in recent decades, becoming a key routine component for various sectors and domains as an intrinsic sign of their improvement, the ocean not being an exception. This paper shows the transition from the research concept to the commercial product and related services for Unmanned Surface Vehicles (USV). Note that it has not always been easy in most cases due to the limitations of the technology, business, and policy framework. An overview of current trends in USV technology looking for a baseline to understand the sector where some experiences of the authors are shown in this work. The analysis presented shows a multidisciplinary approach to the field. USV's capabilities and applications today include a wide range of operations and services aimed at meeting the specific needs of the maritime sector. This important consideration for USV has yet to be fully addressed, but progress is being made.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2021, 15, 1; 135-142
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Developing generative adversarial nets to extend training sets and optimize diiscrete actions
Autorzy:
Zhang, R. L.
Furusho, M.
Powiązania:
https://bibliotekanauki.pl/articles/116509.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Maritime Education and Training (MET)
Generative Adversarial Network (GAN)
discrete actions
MET System in Japan
Lifeboat
Monte Carlo Tree Search (MCTS)
learning methods
unmanned ship navigation
Opis:
This study proposes the use of generative adversarial networks (GANs) to solve two crucial problems in the unmanned ship navigation: insufficient training data for neural networks and convergence of optimal actions under discrete conditions. To achieve smart collision avoidance of unmanned ships in various sea environments, first, this study proposes a collision avoidance decision model based on a deep reinforcement learning method. Then, it utilizes GANs to generate enough realistic image training sets to train the decision model. According to generative network learning, the conditional probability distribution of ship maneuvers is learnt (action units). Subsequently, the decision system can select a reasonable action to avoid the obstacles due to the discrete responses of the generated model to different actions and achieve the effect of intelligent collision avoidance. The experimental results showed that the generated target ship image set can be used as the training set of decision neural networks. Further, a theoretical reference to optimize the optimal convergence of discrete actions is provided.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 4; 875-880
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-8 z 8

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