Fuente
: Hybrid Artificial Intelligent Systems, Part II. Book Series: Lecture Notes in Artificial Intelligence 6679. Páginas 118-126. 2011
Primer autor
: Juan A.Besada.
Centro
: Universidad Politécnica de Madrid.
Título : Adaptive Data Fusion for Air Traffic Control Surveillance
Resumen : 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.
Autores : Juan A.Besada, Guillermo Frontera, Ana M.Bernardos, Gonzalo de Miguel,
Dirección
:
1. Univ Politecn Madrid, E-28040 Madrid, Spain
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