The development of automated driving is actively progressing, and many countries have carried out field tests and showed its navigation system. In spite that navigation algorithm is one of the important factors affecting automated driving, obtaining rich information from sensor data also plays a key role because the accuracy of navigation algorithms highly depends on sensor data. Typically when a vehicle drives in an urban area, the sensor view of the ego vehicle is usually blocked, which leads to blind angle and potential accidents. Cooperative perception is one of the most promising solutions to obtain rich information sensor data even in a complex traffic environment with blocked views. In this paper, we analyzed the required sensor data rate to pass through an intersection safely with the help of cooperative perception and compared it with the outage capacity realized by conventional V2I bands and millimeter-wave bands. Finally, we derived the maximum velocity that ensured no collision under multiple target vehicles at each carrier frequency.


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    Titel :

    Automated Driving with Cooperative Perception Using Millimeter-wave V2I Communications for Safe and Efficient Passing Through Intersections


    Beteiligte:
    Fukatsu, Ryuichi (Autor:in) / Sakaguchi, Kei (Autor:in)


    Erscheinungsdatum :

    2021-04-01


    Format / Umfang :

    2362448 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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