Connected Vehicles (CVs) make transportation safe by communicating with vehicles and the infrastructure in their neighborhood. CVs are embedded with onboard units (OBUs) which transmit basic safety messages (BSMs) containing location, heading, velocity information of the vehicle using either Dedicated Short-Range Communications (DSRC) or Cellular Vehicle-to-Everything (C-V2X) technology. BSMs can be used to warn the drivers in various hazardous vehicle-to-vehicle (V2V) scenarios such as Forward Collision Warning (FCW), Emergency Electronic Brake Light Assist (EEBL), Blind Spot Warning (BSW), etc. Many existing approaches employ computer vision techniques which are costly in processing power and suffer from several drawbacks arising from poor visibility. Further, they assume single lane scenario which is over-simplifying. We propose11A provisional US patent on this work is under consideration. a novel approach that overcomes these limitations by leveraging only BSMs and no cameras. It can handle multiple lane scenarios as well which requires accurate determination of the relative position of CVs. The host vehicle implements logic that computes relative angle with the remote vehicle based on which three types of hazardous conditions (FCW, EEBL, BSW) are detected and warned. The proposed approach is implemented in widely used CARLA simulator. We successfully demonstrate the three V2V safety applications in various scenarios.


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    Titel :

    Three Connected V2V Applications Based on DSRC Basic Safety Messages


    Beteiligte:
    Dokur, Omkar (Autor:in) / Katkoori, Srinivas (Autor:in)


    Erscheinungsdatum :

    2022-03-07


    Format / Umfang :

    5478613 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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