In the era of future mobility within Transportation 5.0, autonomy and cooperation across all road users and smart infrastructure stand as the key features to enhance transportation safety, efficiency, and sustainability, supported by cooperative perception, decision-making and planning, and control. An accurate and robust localization system plays a vital role in enabling these modules for future mobility and is constrained by environmental uncertainties and sensing limitations. To achieve precise and resilient localization in this new era, this letter introduces emerging technologies including edge computing, hybrid data-driven and physical model approaches, foundation models as well as parallel intelligence, that are beneficial for next-generation localization systems. On top of these key technologies, by integrating real-world testing and digital twin technology, we further put forward a Decentralized Autonomous Service (DAS)-based cooperative localization framework for future mobility systems to enhance the resilience, robustness, and safety of transportation systems.


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    Title :

    Cooperative Localization in Transportation 5.0


    Contributors:
    Gao, Letian (author) / Xia, Xin (author) / Zheng, Zhaoliang (author) / Xiang, Hao (author) / Meng, Zonglin (author) / Han, Xu (author) / Zhou, Zewei (author) / He, Yi (author) / Wang, Yutong (author) / Li, Zhaojian (author)

    Published in:

    Publication date :

    2024-03-01


    Size :

    710390 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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