This paper describes a knowledge-based framework for a driving assistance via smartphone. Vehicle information extracted through On Board Diagnostics (OBD-II) protocol, data acquired from smartphone embedded micro-devices and information retrieved from the Web are properly combined. Data fusion and classification algorithms allow to identify and annotate relevant contexts and events in real time and semantic-based matchmaking is exploited to infer dysfunctional situations. The proposed approach has been implemented in an Apple iPhone application, and evaluated in real-world test drives.
Knowledge-based Real-Time Car Monitoring and Driving Assistance / Ruta, Michele; Scioscia, Floriano; Gramegna, Filippo; Loseto, Giuseppe; Di Sciascio, Eugenio. - STAMPA. - (2012), pp. 289-294. (Intervento presentato al convegno 20th Italian Symposium on Advanced Database Systems, SEBD 2012 tenutosi a Venezia, Italy nel 24-27 June 2012).
Knowledge-based Real-Time Car Monitoring and Driving Assistance
Ruta, Michele;Scioscia, Floriano;Gramegna, Filippo;Loseto, Giuseppe;Di Sciascio, Eugenio
2012-01-01
Abstract
This paper describes a knowledge-based framework for a driving assistance via smartphone. Vehicle information extracted through On Board Diagnostics (OBD-II) protocol, data acquired from smartphone embedded micro-devices and information retrieved from the Web are properly combined. Data fusion and classification algorithms allow to identify and annotate relevant contexts and events in real time and semantic-based matchmaking is exploited to infer dysfunctional situations. The proposed approach has been implemented in an Apple iPhone application, and evaluated in real-world test drives.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
