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Information superiority for airborne surveillance

Giovanni Piliego

Information superiority for airborne surveillance.

Rel. Fabrizio Lamberti, Lia Morra. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2018

Abstract:

The aim of the study is to identify a smart information methodology for supporting data exploitation of an airborne surveillance mission. Focus is addressed to surveillance scenario’s behavior anomalies, intended as mission events, detected by mission operators or autonomously raised by the computers while processing sensors data on board the aircraft when referenced to data patterns and thresholds. On mission events occurrence the processing and database on board might not be enough to understand the scenario evolution, and much more information, e.g. available as open source on the web, if smartly processed, is likely expected to provide a wider view of the mission scenario than the mission sensors data processing itself. Expert system techniques and relevant ontologies will be approached for implementing a simple proof of concept to assess potential benefits in conducting a simulated airborne surveillance mission.

Relatori: Fabrizio Lamberti, Lia Morra
Anno accademico: 2018/19
Tipo di pubblicazione: Elettronica
Numero di pagine: 121
Informazioni aggiuntive: Tesi secretata. Fulltext non presente
Soggetti:
Corso di laurea: Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica)
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-25 - INGEGNERIA DELL'AUTOMAZIONE
Aziende collaboratrici: LEONARDO SPA
URI: http://webthesis.biblio.polito.it/id/eprint/9812
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