Descripción
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This paper describes a method to enhance current surveillance systems used in air traffic control. Those systems are currently based on statistical data fusion, relying on a set of statistical models and assumptions. The proposed method allows for the on-line calibration of those models and enhanced detection of non-ideal situations, increasing surveillance products integrity. It is based on the definition of a set of observables from the fusion process and a rule based expert system with the objective to change processing order, algorithms or even remove some sensor data from the processing chain. | |
Internacional
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Si |
Nombre congreso
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Hybrid Artificial Intelligent Systems |
Tipo de participación
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960 |
Lugar del congreso
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Wroclaw, Poland |
Revisores
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Si |
ISBN o ISSN
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978-3-642-21221-5 |
DOI
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10.1007/978-3-642-21222-2_15 |
Fecha inicio congreso
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23/05/2011 |
Fecha fin congreso
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25/05/2011 |
Desde la página
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118 |
Hasta la página
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126 |
Título de las actas
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Hybrid Artificial Intelligent Systems 6th International Conference Proceedings, Part II |