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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    Title :

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


    Contributors:
    Luo, Shaohua (editor) / Saxena, Akash (editor) / Liu, Bo (author) / Duan, Haoyang (author) / He, Jian (author) / Li, Rongrong (author)

    Conference:

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


    Published in:

    Proc. SPIE ; 13692 ; 136920Q


    Publication date :

    2025-07-24





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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