A real time platform for estimating the driver - vehicle - environment state in AIDE integrated project

Angelos Amditis, Katia Pagle, Manolis Tsogas, Evangelos Bekiaris, Maria Panou, Helene Tattegrain Veste, Thierry Bellet, Serge Boverie, Matti Kutila, Gustav Markkula

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    4 Citations (Scopus)

    Abstract

    This paper describes the real time platform that achieves the perception of the Driver - Vehicle - Environment state, developed under the third subproject of AIDE. The platform processes the data that represent the Driver - Vehicle - Environment state, in a synchronised manner. The collected data come from on board sensors and applications that aim at achieving a reliable representation of the vehicle's kinetic state, the driver's level of availability, the lateral and rear field of the vehicle, the eyelid openings and head/gaze direction vectors tracked by camera views of the driver, and the map data coming from GPS.
    Original languageEnglish
    Title of host publicationProceedings of the 14th World Congress on Intelligent Transport Systems 2007
    Pages4683-4690
    Volume6
    Publication statusPublished - 2007
    MoE publication typeA4 Article in a conference publication
    Event14th World Congress and Exhibition on Intelligent Transport Systems - Beijing, China
    Duration: 9 Oct 200713 Oct 2007

    Conference

    Conference14th World Congress and Exhibition on Intelligent Transport Systems
    CountryChina
    CityBeijing
    Period9/10/0713/10/07

    Keywords

    • Driver monitoring
    • Software Architecture
    • Risk Assessment
    • Perception

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