Safety is amongst the strategic objectives of today's automotive industry. Although the absolute number of accidents and fatalities in traffic is continuously decreasing (at least in Europe), the relative risk for VRUs (vulnerable road users) increases, i.e., for pedestrians, cyclists, powered two wheelers, etc. Conventional pedestrian protection systems utilizing contact- or non-cooperative perception sensors are limited by uncertainties in target classification. Moreover, these systems offer no benefit in case of fully or partially hidden pedestrians like e.g. children hidden by cars parked at the roadside. Cooperative systems that follow the communication model of secondary surveillance radar from air traffic control overcome these weaknesses. Cooperative systems may be used alone or in conjunction with image-based systems. They have the potential to be seamlessly integrated into other upcoming RF-based car2X-communication systems in the 5.9 GHz band. After two precedessorpredecessor projects on the European level (WATCH-OVER) and on the level of the German state Bavaria (AMULETT), the Ko-FAS-initiative (Kooperative Fahrerassistenzsysteme, Cooperative Driver Assistance Systems) from the German Ministry of Economics and Technologies (BMWi) was launched in August 2009. The sub-project Ko-Tag concentrates on the development of a pedestrian tag that can communicate with a vehicle and can be localized from the vehicle. Partners for the Ko-Tag sub-project are BMW, Daimler and Continental along with the Fraunhofer Institute for Integated Circuits (IIS), Steinbeis Innovation Center Embedded Design and Networking (sizedn) and the Technical University of Munich. Within the Ko-Tag project, it is the task of the authors' team at sizedn to provide a stable, secure and scalable network architecture between vehicles and VRUs that integrates into the upcoming C2C- and C2I-networks. This project includes in-depth network simulation, and the development and tests with of prototype implementation of the hardware.


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    Titel :

    Cooperative sensing for increased traffic safety


    Beteiligte:
    Lill, Dirk (Autor:in)


    Erscheinungsdatum :

    2011


    Format / Umfang :

    11 Seiten, 9 Bilder, 3 Tabellen, 18 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Datenträger


    Sprache :

    Englisch




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