Trustworthiness is a key point when dealing with vehicle safety applications. In this paper an approach to a real application is presented, able to fulfill the requirements of such demanding applications. Most of commercial sensors available nowadays are usually designed to detect front vehicles but lack the ability to detect overtaking vehicles. The work presented here combines the information provided by two sensors, a Stop&Go radar and a camera. Fusion is done by using the unprocessed information from the radar and computer vision based on optical flow. The basic capabilities of the commercial systems are upgraded giving the possibility to improve the front vehicles detection system, by detecting overtaking vehicles with a high positive rate. ; This work was supported by the Spanish Government through the Cicyt projects FEDORA (GRANT TRA2010- 20225-C03-01) and D3System (TRA2011-29454-C03-02). BRAiVE prototype has been developed in the framework of the Open intelligent systems for Future Autonomous Vehicles (OFAV) Projects funded by the European Research Council (ERC) within an Advanced Investigation Grant


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    Titel :

    Data Fusion for Overtaking Vehicle Detection Based on Radar and Optical Flow



    Erscheinungsdatum :

    03.06.2012


    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    DDC:    629



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