Connected and Automated Vehicles (CAVs) are revolutionizing road transport by offering enhanced safety, efficiency, and sustainability. A key requirement for their safe operation on roads is the availability of highly accurate positioning information with ultra-low latency. This study presents the design and assessment of an infrastructure-based vehicle positioning system, focusing on the latency involved in transmitting position information to vehicles using Vehicle-to-Everything (V2X) connectivity. Specifically, we consider a roadside positioning infrastructure that integrates an Ultra Wideband (UWB) technology for positioning and an ITS-G5 V2X connectivity for communication. We measure and analyze the round trip time of the V2X communication link to gain insights on the latency performance. The positioning performance is also analyzed by comparing the trajectory followed by the vehicle with the one planned by the onboard control system. On-field evaluations are conducted in a highway tunnel, demonstrating the ability of the infrastructure localization system in successfully enabling autonomous navigation.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Leveraging Smart Tunnel Systems: V2X-Driven Positioning for CAVs in GNSS-Denied Scenarios


    Beteiligte:


    Erscheinungsdatum :

    24.03.2025


    Format / Umfang :

    1742536 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Complementary Positioning System in GNSS-denied Areas

    Adin, I. / Mendizabal, J. / de Miguel, G. et al. | Elsevier | 2016

    Freier Zugriff


    Collaborative Collision Avoidance for CAVs in Unpredictable Scenarios

    Patel, Dhruvkumar / Zalila-Wenkstern, Rym | IEEE | 2020


    V2X-Based Cooperative Positioning for Connected Vehicles in GNSS- Denied Environments

    Zheng, Shaowu / Xie, Chong / Huang, Ruyi et al. | IEEE | 2023


    CAVS 2019 Reviewers

    IEEE | 2019

    Freier Zugriff