With the rapid development of intelligent connected vehicles (ICVs), the integration of vehicles with roadside infrastructure through Vehicle-Road-Cloud Integration has become a crucial direction for the industry. China has launched pilot projects in twenty cities to explore this integration, focusing on constructing intelligent roadside infrastructure and deploying C-V2X communication systems. However, the current pilot projects face challenges such as high latency and limited real-time control capabilities for autonomous vehicles. This paper discusses the existing shortcomings in collaborative perception and proposes a safety and efficiency platform that focuses on latency-insensitive scenarios to enhance traffic safety and efficiency. The platform, based on intersection perception capabilities, provides 13 types of safety and efficiency services to ICVs through real-time data analysis and service applications. The successful implementation of this platform in pilot cities will provide valuable experience for nationwide promotion and validate the effectiveness of V2X infrastructure investments.


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    Titel :

    Enhancing intersection safety and efficiency for intelligent connected vehicles through roadside perception


    Beteiligte:
    Luo, Shaohua (Herausgeber:in) / Saxena, Akash (Herausgeber:in) / Liu, Bo (Autor:in) / Duan, Haoyang (Autor:in) / He, Jian (Autor:in) / Li, Rongrong (Autor:in)

    Kongress:

    Fourth International Conference on Electronics Technology and Artificial Intelligence (ETAI 2025) ; 2025 ; China, China


    Erschienen in:

    Proc. SPIE ; 13692 ; 136920Q


    Erscheinungsdatum :

    24.07.2025





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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