Highlights We propose a reference architecture for context-aware driving assistance systems. We implement a driving assistance system according to this architecture. System fuses real-world information from on-board sensors and external services. System adapts decision-making based on driver progress and feedback. System is implemented and operates with real data for real trips and real user.

    Abstract Recent advances in technology are changing the way how everyday activities are performed. Technologies in the traffic domain provide diverse instruments of gathering and analysing data for more fuel-efficient, safe, and convenient travelling for both drivers and passengers. In this article, we propose a reference architecture for a context-aware driving assistant system. Moreover, we exemplify this architecture with a real prototype of a driving assistance system called Driving coach. This prototype collects, fuses and analyses diverse information, like digital map, weather, traffic situation, as well as vehicle information to provide drivers in-depth information regarding their previous trip along with personalised hints to improve their fuel-efficient driving in the future. The Driving coach system monitors its own performance, as well as driver feedback to correct itself to serve the driver more appropriately.


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    Titel :

    Personalised assistance for fuel-efficient driving


    Beteiligte:


    Erscheinungsdatum :

    2015-02-09


    Format / Umfang :

    25 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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