Data fusion architecture for Maritime Surveillance

Gad, Ahmed S.; Farooq, M.

doi:10.1109/icif.2002.1021189

Cited by 26 publications

(13 citation statements)

References 18 publications

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“…Compared to the increasingly mature field of low-level IF, theoretical and practical challenges posed by high-level IF are more difficult to handle. Some of the applications that involve highlevel fusion are: Defense [1,2,10,16,23], Computer and Information Security [12,17], Disaster Management [24][25][26]28], Fault Detection [3][4][5], Environment [20][21][22]. Also techniques for using contextual information in high-level information fusion architectures has been studied at [18].…”

Section: Foundationsmentioning

confidence: 99%

Ontology definition and cognitive analysis in ocupational health and security (OHS) environments

Sánchez-Pi¹,

Martí

Molina

et al. 2015

Proceedings of the 30th Annual ACM Symposium on Applied Computing

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Events recognition is central to occupational health and safety OHS, since the system can selectively start proper prediction services according to the user current situation and past knowledge taken from huge databases. In this sense, a fusion framework that combines data from multiples sources to achieve more specific inferences is needed. Our proposed model provides the big picture about risk analysis for that employee at that place in that moment in a real world environment. Our main contribution lies in building a causality model for accidents investigation by means of a well-defined spatiotemporal constraints on offshore oil industry domain.

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Section: Foundationsmentioning

confidence: 99%

Ontology definition and cognitive analysis in ocupational health and security (OHS) environments

Sánchez-Pi¹,

Martí

Molina

et al. 2015

Proceedings of the 30th Annual ACM Symposium on Applied Computing

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“…The JDL model was proposed by the US Joint Directors of Laboratories Data Fusion Sub-Group in 1985 [12].…”

Section: State Of the Art In Tactical Data Fusionmentioning

confidence: 99%

An Agent-Based Approach for Data Fusion in Homeland Security

Castillo¹,

Solis-Montes²

2013

IJIMAI

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This article presents an agent-based solution for data fusion in Homeland Security. Communication technology has been developed very fast in the last decades. We can get lots of data in milliseconds. Our current problem is to process such amounts of data in order to provide useful information. We have to focus our effort on developing intelligent information systems able to handle big amounts of data extracting or revealing relations among data and able to produce information easily understandable for the human user. That is the case of data fusion in tactical operations, especially in the field of defense and Homeland security. Our research is focused on obtaining a Multi-agent system able to inference future enemy’s actions or behaviors from data received from heterogeneous sensors

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“…Maritime situational awareness (MSA) aims at providing a seamless wide‐area operational picture of ship traffic in coastal areas and the oceans in real time [1–5]. Nowadays, multiple heterogeneous sensors and information sources are available for MSA – all with their advantages and limitations – and a significant research effort has been made for their combination.…”

Section: Introductionmentioning

confidence: 99%