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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:


    Publication date :

    2021-04-01


    Size :

    2362448 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Cooperative Vehicles versus Non-Cooperative Traffic Light: Safe and Efficient Passing

    Thunberg, Johan / Saeed, Taqwa / Sidorenko, Galina et al. | DataCite | 2023

    Free access

    Outage Analysis of Cooperative NOMA for Millimeter Wave Vehicular Networks at Intersections

    Belmekki, Baha Eddine Youcef / Hamza, Abdelkrim / Escrig, Benoit | IEEE | 2020


    Enhancing Safety at Highway Ramps and Intersections Using Safe Cooperative Controls in Automated Vehicles

    Chang, Pei Yu / Bhatti, Sidra Ghayour / Javed, Nur Uddin et al. | IEEE | 2024


    Poster: Safe V2X Communication for Cooperative Automated Driving

    Llatser, Ignacio / Geraldy, Alexander / Jornod, Guillaume et al. | IEEE | 2023