Relevant bibliographies by topics / Maritime situation awareness

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Maritime situation awareness'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Maritime situation awareness"

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Iphar, C., A. Napoli, and C. Ray. "DATA QUALITY ASSESSMENT FOR MARITIME SITUATION AWARENESS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W5 (August 20, 2015): 291–96. http://dx.doi.org/10.5194/isprsannals-ii-3-w5-291-2015.

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The Automatic Identification System (AIS) initially designed to ensure maritime security through continuous position reports has been progressively used for many extended objectives. In particular it supports a global monitoring of the maritime domain for various purposes like safety and security but also traffic management, logistics or protection of strategic areas, etc. In this monitoring, data errors, misuse, irregular behaviours at sea, malfeasance mechanisms and bad navigation practices have inevitably emerged either by inattentiveness or voluntary actions in order to circumvent, alter or exploit such a system in the interests of offenders. This paper introduces the AIS system and presents vulnerabilities and data quality assessment for decision making in maritime situational awareness cases. The principles of a novel methodological approach for modelling, analysing and detecting these data errors and falsification are introduced.
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van Westrenen, Fulko, and Gesa Praetorius. "Situation awareness and maritime traffic: having awareness or being in control?" Theoretical Issues in Ergonomics Science 15, no. 2 (June 21, 2012): 161–80. http://dx.doi.org/10.1080/1463922x.2012.698661.

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Handayani, D. O. D., W. Sediono, and A. Shah. "Prototyping of a Situation Awareness System in the Maritime Surveillance." IOP Conference Series: Materials Science and Engineering 53 (December 20, 2013): 012007. http://dx.doi.org/10.1088/1757-899x/53/1/012007.

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Perera, Panagodage Marlon. "INTEGRATED MARITIME PICTURE FOR EFFECTIVE DOMAIN AWARENESS." Maritime Technology and Research 3, no. 1 (January 18, 2020): Manuscript. http://dx.doi.org/10.33175/mtr.2021.224463.

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Abstract According to the IMO (International Maritime Organization) Definition of MDA (Maritime Domain Awareness) : “Effective understanding of anything associated with the maritime domain that could impact the security, safety, economy, or environment”. As per the geography, more than half of the countries in the world map are littoral states. Hence Maritime Domain Awareness is a great concern of many states (Bateman, S. (2011). However incidents that are reporting in maritime environments are evident that, it is not safe as we thought and causes serious influences to the national security of a state. Hence maritime security is great concern of littoral and non-littoral nations and emphasis have given for effective maritime detection as it is the gateway for a maritime interdiction and apprehension. How much our maritime environment is deserted and far from human activities, each and every bit of ocean environment is monitored by many agents of different nations for different perspectives and interests. However, in contradictory exploitation sea for crimes and criminalities is increase day by day and drug trafficking, human smuggling and human trafficking are some of the top listed criminalities. Even though mankind is capable to monitor every inch of ocean mass still sea is the main supply route for bulk of drugs and narcotics and reporting illegal migration is a common topic in many news forums. The real cause of this enigmatic situation is poor commitment by the states for effective mechanism to monitor and apprehend the culprits. For that sharing of information is important but obviously individuals are greedy on information for many reasons. As a result most of the monitoring stations are getting what they are interested but not the complete picture of maritime domain. Especially developing countries must focus for integration as funds for developed systems are the main constrain for them. Hence every bit of information is really important to build a complete picture to have a better understanding of the maritime environment.in this background this paper is to discuss an effective mechanism to integrate information and to share those with national and friendly international bodies to enhance decision making ability to effective interdiction to ensure safe seas.
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Stróżyna, Milena, Jacek Małyszko, Krzysztof Węcel, Dominik Filipiak, and Witold Abramowicz. "Architecture of Maritime Awareness System Supplied with External Information." Annual of Navigation 23, no. 1 (December 1, 2016): 135–49. http://dx.doi.org/10.1515/aon-2016-0009.

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Abstract In this paper, we discuss a software architecture, which has been developed for the needs of the System for Intelligent Maritime Monitoring (SIMMO). The system bases on the state-of-the-art information fusion and intelligence analysis techniques, which generates an enhanced Recognized Maritime Picture and thus supports situation analysis and decision- making. The SIMMO system aims to automatically fuse an up-to-date maritime data from Automatic Identification System (AIS) and open Internet sources. Based on collected data, data analysis is performed to detect suspicious vessels. Functionality of the system is realized in a number of different modules (web crawlers, data fusion, anomaly detection, visualization modules) that share the AIS and external data stored in the system’s database. The aim of this article is to demonstrate how external information can be leveraged in maritime awareness system and what software solutions are necessary. A working system is presented as a proof of concept.
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Sharma, Amit, Salman Nazir, and Jorgen Ernstsen. "Situation awareness information requirements for maritime navigation: A goal directed task analysis." Safety Science 120 (December 2019): 745–52. http://dx.doi.org/10.1016/j.ssci.2019.08.016.

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Hong, Teo Chee, Ho Si Yong Andrew, and Chua Wei Liang Kenny. "Assessing the Situation Awareness of Operators Using Maritime Augmented Reality System (MARS)." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 59, no. 1 (September 2015): 1722–26. http://dx.doi.org/10.1177/1541931215591372.

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Kim, Eun-Kyung, Nam-Kyun Im, Song-Hee Han, and Jung-Sik Jeong. "A Study on Development of Visual Navigational Aids to improve Maritime Situation Awareness." Journal of Korean Institute of Intelligent Systems 22, no. 3 (June 25, 2012): 379–85. http://dx.doi.org/10.5391/jkiis.2012.22.3.379.

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Caelli, Terry, Joyanto Mukerjee, Andy McCabe, and David Kirszenblat. "The Situation Awareness Window: a Hidden Markov Model for analyzing Maritime Surveillance missions." Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 18, no. 3 (January 21, 2021): 207–15. http://dx.doi.org/10.1177/1548512920984370.

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In recent years, the use of Maritime Surveillance (MS) systems has increased in both defense and civilian domains. A demanding workload is placed upon operators of these systems, including the need to perform simultaneous information fusion from a number of sources to enable rapid decision throughput based upon Situation Awareness (SA). We have developed a method to objectively encode, summarize, and analyze airborne MS crew activities to gain insights into what is attended to in the execution of surveillance requirements. We label this method the “Situation Awareness Window” (SAW), which integrates sensor and tactical information with kinematics to define key attention and decision components of the operators that emerge over the surveillance mission. The SAW is defined with respect to the objects that are surveyed, the surveillance activities, and their chronological order. A SAW Hidden Markov Model (SAW-HMM) operates upon the surveillance mission activity encoder, resulting in a probabilistic relationship between the attention switching across sensor types and surveyed objects over the entire mission. That is, to implement the SAW-HMM we encoded the selection of sensors and surveillance decisions using a novel “encoder-interface” that allows users to probe many different features, observations, and states of a given mission. Ultimately the SAW will provide automated, objective, and insightful post mission debriefing technologies for operators and mission planners to encapsulate task demands and SA features over the mission.
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Ding, Song, Duan Feng Han, Xiang Li, and Wei Deng. "Research of Human Errors in Maritime System." Applied Mechanics and Materials 543-547 (March 2014): 4194–97. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.4194.

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The importance of the human element in maritime safety is increasingly being recognized by the shipping and offshore communities. In this paper, the author is going to make an introduction of the application of the human factors in maritime technology in recent years, and talk about the failures of situation awareness which are exceedingly common and need to be handled.
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Dissertations / Theses on the topic "Maritime situation awareness"

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Whitcher, Alan. "Situation awareness of marine control room operators." Thesis, Southampton Solent University, 2013. http://ssudl.solent.ac.uk/3002/.

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Grech, Michelle Rita. "Human error in maritime operations : assessment of situation awareness, fatigue, workload and stress /." [St. Lucia, Qld.], 2005. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18457.pdf.

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Dabrowski, Joel Janek. "Contextual behavioural modelling and classification of vessels in a maritime piracy situation." Thesis, University of Pretoria, 2014. http://hdl.handle.net/2263/45902.

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In this study, a method is developed for modelling and classifying behaviour of maritime vessels in a piracy situation. Prior knowledge is used to construct a probabilistic graphical model of maritime vessel behaviour. This model is a novel variant of a dynamic Bayesian network (DBN), that extends the switching linear dynamic system (SLDS) to accommodate contextual information. A generative model and a classifier model are developed. The purpose of the generative model is to generate simulated data by modelling the behaviour of fishing vessels, transport vessels and pirate vessels in a maritime piracy situation. The vessels move, interact and perform various activities on a predefined map. A novel methodology for evaluating and optimising the generative model is proposed. This methodology can easily be adapted to other applications. The model is evaluated by comparing simulation results with 2011 pirate attack reports. The classifier model classifies maritime vessels into predefined categories according to their behaviour. The classification is performed by inferring the class of a vessel as a fishing, transport or pirate vessel class. The classification method is evaluated by classifying the data generated by the generative model and comparing it to the true classes of the simulated vessels.
Thesis (PhD)--University of Pretoria, 2014.
tm2015
Electrical, Electronic and Computer Engineering
PhD
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Fooladvandi, Farzad. "Signature-based activity detection based on Bayesian networks acquired from expert knowledge." Thesis, University of Skövde, School of Humanities and Informatics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-1123.

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The maritime industry is experiencing one of its longest and fastest periods of growth. Hence, the global maritime surveillance capacity is in a great need of growth as well. The detection of vessel activity is an important objective of the civil security domain. Detecting vessel activity may become problematic if audit data is uncertain. This thesis aims to investigate if Bayesian networks acquired from expert knowledge can detect activities with a signature-based detection approach. For this, a maritime pilot-boat scenario has been identified with a domain expert. Each of the scenario’s activities has been divided up into signatures where each signature relates to a specific Bayesian network information node. The signatures were implemented to find evidences for the Bayesian network information nodes. AIS-data with real world observations have been used for testing, which have shown that it is possible to detect the maritime pilot-boat scenario based on the taken approach.

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Helldin, Tove. "Explanation Methods for Bayesian Networks." Thesis, University of Skövde, School of Humanities and Informatics, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-3193.

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The international maritime industry is growing fast due to an increasing number of transportations over sea. In pace with this development, the maritime surveillance capacity must be expanded as well, in order to be able to handle the increasing numbers of hazardous cargo transports, attacks, piracy etc. In order to detect such events, anomaly detection methods and techniques can be used. Moreover, since surveillance systems process huge amounts of sensor data, anomaly detection techniques can be used to filter out or highlight interesting objects or situations to an operator. Making decisions upon large amounts of sensor data can be a challenging and demanding activity for the operator, not only due to the quantity of the data, but factors such as time pressure, high stress and uncertain information further aggravate the task. Bayesian networks can be used in order to detect anomalies in data and have, in contrast to many other opaque machine learning techniques, some important advantages. One of these advantages is the fact that it is possible for a user to understand and interpret the model, due to its graphical nature.

This thesis aims to investigate how the output from a Bayesian network can be explained to a user by first reviewing and presenting which methods exist and second, by making experiments. The experiments aim to investigate if two explanation methods can be used in order to give an explanation to the inferences made by a Bayesian network in order to support the operator’s situation awareness and decision making process when deployed in an anomaly detection problem in the maritime domain.

 

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Ferebee, J. Michel. "Maximizing situational awareness improving situational awareness with global positioning system data in the maritime environment." Thesis, Monterey, Calif. : Naval Postgraduate School, 2009. http://edocs.nps.edu/npspubs/scholarly/theses/2009/March/09Mar%5FFerebee.pdf.

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Thesis (M.S. in Information Technology Management)--Naval Postgraduate School, March 2009.
Thesis Advisor(s): Bordetsky, Alex ; Bourakov, Eugene. "March 2009." Description based on title screen as viewed on April 23, 2009. Author(s) subject terms: Global Positioning System, GPS, Situational Awareness, Maritime Domain Awareness. Includes bibliographical references (p. 55-57). Also available in print.
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Ireland, Robert D. "Autonomous vehicle systems implications for maritime operations, warfare capabilities, and Command and Control /." Thesis, Monterey, California : Naval Postgraduate School, 2010. http://edocs.nps.edu/npspubs/scholarly/theses/2010/Jun/10Jun%5FIreland.pdf.

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Thesis (M.S. in Systems Technology (Command, Control, and Communications))--Naval Postgraduate School, June 2010.
Thesis Advisor(s): Gallup, Shelley P.; Second Reader: MacKinnon, Douglas J. "June 2010." Description based on title screen as viewed on July 14, 2010. Author(s) subject terms: Machine Autonomy, AVS, USV, UUV, Navy Tactical Task List, Situational Awareness, Congruence Model, Decision Superiority, Maritime ISR. Includes bibliographical references (p. 49-51). Also available in print.
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Jacq, Olivier. "Détection, analyse contextuelle et visualisation de cyber-attaques en temps réel : élaboration de la Cyber Situational Awareness du monde maritime." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2021. http://www.theses.fr/2021IMTA0228.

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Dans une économie globalisée, le secteur maritime est essentiel au bon fonctionnement des économies et permet d’acheminer 90% des marchandises. Dans un contexte de forte numérisation, le niveau de cybersécurité du secteur maritime reste en retrait par rapport aux autres secteurs d'activité d'importance vitale. Au travers d’une analyse de bout en bout, cette thèse décrit les particularités des systèmes d’information maritimes et modélise le concept de Maritime Cyber Situational Awareness. Ensuite, une proposition d’architecture est décrite pour permettre l’acquisition de cet état de connaissance. Cette solution, éprouvée sur plate-forme, a permis de répondre à l’ensemble des critères d’élaboration. Enfin, les travaux soulignent et détaillent les spécificités du monde maritime pour tirer un profit maximal des données issues de la cybersurveillance. Les analyses et architectures de cette étude dans un contexte contraint pourront probablement être élargies à d’autres secteurs, comme par exemple les véhicules autonomes ou encore l’Internet des objets
In a globalized economy, the maritime sector plays an essential role for the countries’ economies, drawing 90% of the global world trade. In a highly digitalized transformation context, the cybersecurity level of the maritime sector remains low compared to other essential sectors. Through an end-to-end analysis, this thesis aims at describing the unique combined characteristics of maritime information systems. Then, we apply situational awareness definition to maritime cybersecurity and model the concept of Maritime Cyber Situational Awareness. Then we describe the proposal of an architecture to achieve MCSA elaboration, which has been tested and proven on our experimental platform, taking into account the full requirements. Our work then analyses the particularities of the maritime world to streamline the collected data. The analysis and architectures of this study could also be opened and applied to other sectors, such as autonomous vehiclesand the Internet of Things (IoT)
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Plachkov, Alex. "Soft Data-Augmented Risk Assessment and Automated Course of Action Generation for Maritime Situational Awareness." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35336.

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This thesis presents a framework capable of integrating hard (physics-based) and soft (people-generated) data for the purpose of achieving increased situational assessment (SA) and effective course of action (CoA) generation upon risk identification. The proposed methodology is realized through the extension of an existing Risk Management Framework (RMF). In this work, the RMF’s SA capabilities are augmented via the injection of soft data features into its risk modeling; the performance of these capabilities is evaluated via a newly-proposed risk-centric information fusion effectiveness metric. The framework’s CoA generation capabilities are also extended through the inclusion of people-generated data, capturing important subject matter expertise and providing mission-specific requirements. Furthermore, this work introduces a variety of CoA-related performance measures, used to assess the fitness of each individual potential CoA, as well as to quantify the overall chance of mission success improvement brought about by the inclusion of soft data. This conceptualization is validated via experimental analysis performed on a combination of real- world and synthetically-generated maritime scenarios. It is envisioned that the capabilities put forth herein will take part in a greater system, capable of ingesting and seamlessly integrating vast amounts of heterogeneous data, with the intent of providing accurate and timely situational updates, as well as assisting in operational decision making.
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Flodin, Caroline. "Sjöräddning och obemannade autonoma farkoster, hur är det med uppgifterna? : En fallstudie om riktlinjer för datahantering i sjöräddning med obemannade autonoma farkoster." Thesis, Linköpings universitet, Informationssystem och digitalisering, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177792.

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Sjöräddning i Sverige sker genom samverkan mellan statliga verksamheter, kommuner och frivilligorganisationer för ett gemensamt mål att rädda personer som råkat i sjönöd. Tid är ofta en kritisk faktor i räddningsuppdragen men ett snabbt och oplanerat utryck riskerar samtidigt att sätta räddningsaktörerna själva i farozonen. Utvecklingen av obemannade autonoma farkoster för SAR (eng. Search And Rescue) ses som en lösning på behovet att kunna snabbt skicka hjälp till samt få ögon på incidentplatsen utan att försätta räddningsaktörerna för onödig risk. Nuvarande kommunikationssystem inom svensk sjöräddning kan dock inte hantera annan typ av information än muntlig varav räddningsaktörer endast känner till riktlinjer för hantering av muntlig information. Med ett framtida införande av autonoma farkoster kommer dock fler informationstyper att behöva hanteras i sjöräddningar varav oklarheten om vilka informationstyper autonoma farkoster samlar in och vilka datahanteringskrav som finns är problematiskt. Oklarhet om informationstyperna och deras datahanteringskrav är vidare problematiskt för utvecklingen och implementeringen av autonoma farkoster då risken finns att farkoster och tekniker utvecklas men inte får användas för att de inte är anpassade efter lagkraven på hantering av olika datatyper. I denna studie undersöks därför vilka informationstyper som autonoma farkoster kan samla in vid sjöräddning. Detta för att komma fram till vilka riktlinjer för datahantering som gäller vid sjöräddning med autonoma farkoster. Studien undersöker också vilka informationstyper som är kritiska för en SAR-sjöräddningssamverkan samt vilka informationsdelningsutmaningar som finns i dagens sjöräddning. Studien genomfördes i form av en kvalitativ fallstudie och har tillämpat ett socio-tekniskt systemperspektiv för att bättre se till helheten och besvara frågeställningarna. Resultatet av denna studie visar att autonoma farkoster kan samla in information om sin omgivning, vilket utgör grunden för att skapa en medvetenhet om situationen som är kritiskt för SAR-operationer, och kan även samla in information om sitt eget tillstånd. De lagverk som identifierats utgöra de huvudsakliga restriktionerna är kamerabevakningslagen, lagen för skydd av geografisk information, offentlighets- och sekretesslagen, GDPR och dataskyddslagen. Dessa lagverk innehåller riktlinjer för delning av information och personuppgiftsbehandling i SAR-sjöräddning. Kunskapsbidrag studien har genererat inkluderar bland annat identifiering av datatyper som kan samlas in av autonoma farkoster i en SAR-sjöräddning, och sannolikt andra typer av räddningsinsatser, och delning och hanteringskraven på de datatyperna i räddningsinsatser och därmed kunskap om vilka datatyper som är mest reglerade. Vidare kunskapsbidrag är kunskap om vilka informationstyper som är mest kritiska för SAR-sjöräddningar, och därför bör prioriteras att samlas in och delas, och identifieringen av utmaningar för informationsdelning mellan statliga verksamheter och frivilligorganisationer.
Maritime rescue in Sweden is performed through a cooperation between government agencies, municipalities and non-governmental organisations (NGOs) with the common goal of saving people in distress. Time is often a critical factor in the rescue missions but a fast and unplanned response may at the same time put the rescue workers in danger. The development of unmanned autonomous vehicles for SAR is seen as a solution to the need of being able to quickly sendhelp as well as get eyes on the scene of the incident without exposing the rescue workers for unnecessary risks. However, the current communications systems in Swedish maritime rescue are unable to handle any other type of information except verbal, meaning that rescue workers only know guidelines for handling verbal information. However, with a future implementation of autonomous vehicles, there will be a need to handle more information types in maritime rescue whereas the uncertainty regarding what kind of information autonomous vehicles collect and which data management requirements exist is problematic. The uncertainty about the information types and their data management requirements is also problematic for the development and implementation of autonomous vehicles as there is a risk that vehicles and technologies are developed but not allowed to be used because they are not adapted to the legal requirements on management of the different types of data. Therefore, in this study I examine what information types that autonomous vehicles can collect in a maritime rescue to find out what guidelines for data management that applies during a maritime rescue with autonomous vehicles. The study also examines what kind of information’s are critical for a SAR maritime rescue cooperation as well as what information sharing challenges exist in current maritime rescue. The study was performed as a qualitative case study and has used a socio-technical systems perspective so as to better see the overall picture and answer the research questions. The result shows that autonomous vehicles can collect information about their surroundings, which is the foundation for establishing situation awareness that is critical for SAR-operations, and that they can collect information about their own status. The main laws and regulations that have been identified as constituting the main restrictions are (translated from Swedish) the law of camera surveillance, the law for protection of geographical information, the public access to information and secrecy act, the GDPR and the data protection act. These contains guidelines for sharing information and the processing of personal data in SAR maritime rescue. The knowledge contributions of this study includes among others the identification of datatypes that can be collected by autonomous vehicles in SAR maritime rescue, and probably other types of rescue operations, and the sharing and management requirements on those datatypes in rescue operations and thus knowledge of what datatypes that are the most restricted. Further knowledge contributions is knowledge about which information types that are the most critical for SAR maritime rescue and thus should be prioritised for collection and sharing as well as the identification of challenges for information sharing between government agencies and NGOs.
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Books on the topic "Maritime situation awareness"

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Baruah, Darshana M. India’s Evolving Maritime Domain Awareness Strategy in the Indian Ocean. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199479337.003.0010.

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Darshana Baruah, an emerging Indian maritime security analyst, examines India’s heightened focus on improving maritime domain awareness in the coastal domain, EEZ and far seas. This is increasingly being driven by growing naval presence in the Indian Ocean. Of particular concern is India’s ability to monitor the passage of PLA Navy submarine passages to Pakistan and elsewhere in the Indian Ocean. Despite improved maritime situational awareness in coastal waters, India still has difficulty in tracking surface and subsurface vessels transiting its EEZ or neighbouring waters. This will likely require coordination and collaboration with friendly states. Baruah concludes that despite India’s traditional attachment to strategic autonomy, the difficulties in any one country developing maritime domain awareness across the Indian Ocean will be a key driver in greater defence cooperation with the United States and its allies.
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Book chapters on the topic "Maritime situation awareness"

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Glandrup, Maurice. "Improving Situation Awareness in the Maritime Domain." In Situation Awareness with Systems of Systems, 21–38. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6230-9_2.

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Janssens, Jeroen, Eric Postma, and Jaap van den Herik. "Density-Based Anomaly Detection in the Maritime Domain." In Situation Awareness with Systems of Systems, 119–31. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6230-9_8.

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Hemaissia, Miniar, Amal El Fallah Seghrouchni, and Juliette Mattioli. "Enhanced Maritime Situation Awareness with Negotiator Agents." In Defence Applications of Multi-Agent Systems, 14–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11683704_2.

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Tretmans, Jan, and Piërre van de Laar. "Introduction: Situation Awareness, Systems of Systems, and Maritime Safety and Security." In Situation Awareness with Systems of Systems, 3–20. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6230-9_1.

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Murray, Brian, and Lokukaluge Prasad Perera. "Deep representation learning-based vessel trajectory clustering for situation awareness in ship navigation." In Developments in Maritime Technology and Engineering, 157–65. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003216582-17.

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Vouros, G. A., A. Vlachou, G. Santipantakis, C. Doulkeridis, N. Pelekis, H. Georgiou, Y. Theodoridis, et al. "Increasing Maritime Situation Awareness via Trajectory Detection, Enrichment and Recognition of Events." In Web and Wireless Geographical Information Systems, 130–40. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90053-7_13.

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Stratmann, Tim Claudius, and Susanne Boll. "Demon Hunt - The Role of Endsley’s Demons of Situation Awareness in Maritime Accidents." In Lecture Notes in Computer Science, 203–12. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44902-9_13.

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Xue, Hui, Bjørn-Morten Batalden, and Johan-Fredrik Røds. "Development of a SAGAT Query and Simulator Experiment to Measure Situation Awareness in Maritime Navigation." In Advances in Intelligent Systems and Computing, 468–74. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50943-9_59.

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Kitada, Momoko. "Women Seafarers: An Analysis of Barriers to Their Employment." In The World of the Seafarer, 65–76. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49825-2_6.

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AbstractThis chapter examines the barriers to the employment of women seafarers and identifies problems in the current attempts at addressing the gender imbalance in the maritime industry. Three impediments to female employment will be discussed in the context of modern shipping: occupational cultural barriers; lack of awareness and knowledge about women at sea; and the slow development of effective policies and strategies aimed at recruiting and retaining women seafarers. It draws the conclusion that the employment of women seafarers should be more focused and that the engagement of employers, including shipping companies and crewing agencies, is necessary to improve the situation of women seafarers.
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Pitsikalis, Manolis, Konstantina Bereta, Marios Vodas, Dimitris Zissis, and Alexander Artikis. "Event Processing for Maritime Situational Awareness." In Big Data Analytics for Time-Critical Mobility Forecasting, 255–74. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45164-6_9.

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Conference papers on the topic "Maritime situation awareness"

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Walko, Christian, and Niklas Peinecke. "Integration and use of an AR display in a maritime helicopter simulator." In Situation Awareness in Degraded Environments 2019, edited by John (Jack) N. Sanders-Reed and Jarvis (Trey) J. Arthur. SPIE, 2019. http://dx.doi.org/10.1117/12.2520142.

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Tan, Tele, Fee-Lee Lim, and Yenicca Kang. "Situation Awareness System in a Maritime Port." In OCEANS 2006 - Asia Pacific. IEEE, 2006. http://dx.doi.org/10.1109/oceansap.2006.4393913.

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Mantecon, Tomas, David Casals, Juan Jose Navarro-Corcuera, Carlos R. del-Blanco, and Fernando Jaureguizar. "Deep Learning to Enhance Maritime Situation Awareness." In 2019 20th International Radar Symposium (IRS). IEEE, 2019. http://dx.doi.org/10.23919/irs.2019.8768142.

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van den Broek, Bert, Eric den Breejen, Rob Dekker, and Arthur Smith. "Change detection and maritime situation awareness in the channel area - Feasibility of space borne SAR for maritime situation awareness." In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6351942.

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Zocholl, Maximilian, Clement Iphar, Richard Dreo, Francesca de Rosa, Anne-Laure Jousselme, Cyril Ray, and Elena Camossi. "User-centric assessment of maritime situation awareness solutions." In OCEANS 2019 - Marseille. IEEE, 2019. http://dx.doi.org/10.1109/oceanse.2019.8867518.

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Razavi, Amir H., Diana Inkpen, Rafael Falcon, and Rami Abielmona. "Textual risk mining for maritime situational awareness." In 2014 IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA). IEEE, 2014. http://dx.doi.org/10.1109/cogsima.2014.6816558.

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Murray, Brian, and Lokukaluge P. Perera. "Unsupervised Trajectory Anomaly Detection for Situation Awareness in Maritime Navigation." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-18281.

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Abstract Situation awareness is essential in conducting effective collision avoidance in potential ship encounter situations. It has been shown that data driven trajectory prediction techniques, utilizing historical AIS data, have the potential to aid in providing such awareness. However, such data driven techniques will not perform well for unusual ship behavior, i.e. anomalous trajectories. Additionally, such anomalies in the dataset can corrupt the predictions. In this study, an unsupervised approach to anomaly detection is presented to aid such trajectory predictions. Gaussian Mixture Models are used to cluster trajectories, such that clusters of both normal and anomalous trajectories are discovered. Further, anomalies are discovered within clusters of normal behavior. Novel trajectories can then also be evaluated based on a parametric description of the historical ship traffic. The approach is shown to be effective in detecting anomalies relevant in such a trajectory prediction scheme.
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Pilato, Giovanni, Agnese Augello, Michele Missikoff, and Francesco Taglino. "Integration of Ontologies and Bayesian Networks for Maritime Situation Awareness." In 2012 IEEE Sixth International Conference on Semantic Computing (ICSC). IEEE, 2012. http://dx.doi.org/10.1109/icsc.2012.25.

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Jeong, Jung Sik, Gyei-Kark Park, and Joo-Sung Kim. "Prediction table to improve maritime situation awareness by VTS operator." In 2013 International Conference on Fuzzy Theory and Its Applications (iFUZZY). IEEE, 2013. http://dx.doi.org/10.1109/ifuzzy.2013.6825487.

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Bomberger, Neil, Bradley Rhodes, Michael Seibert, and Allen Waxman. "Associative Learning of Vessel Motion Patterns for Maritime Situation Awareness." In 2006 9th International Conference on Information Fusion. IEEE, 2006. http://dx.doi.org/10.1109/icif.2006.301661.

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