Perception of the driving environment is critical for collision avoidance and route planning to ensure driving safety. Cooperative perception has been widely studied as an effective approach to addressing the shortcomings of single-vehicle perception. However, the practical limitations of vehicle-to-vehicle (V2V) communications have not been adequately investigated. In particular, current cooperative fusion models rely on supervised models and do not address dynamic performance degradation caused by arbitrary channel impairments. In this article, a self-supervised adaptive weighting model is proposed for intermediate fusion to mitigate the adverse effects of channel distortion. The performance of cooperative perception is investigated in different system settings. Rician fading and imperfect channel state information (CSI) are also considered. Numerical results demonstrate that the proposed adaptive weighting algorithm significantly outperforms the benchmarks without weighting. Visualization examples validate that the proposed weighting algorithm can flexibly adapt to various channel conditions. Moreover, the adaptive weighting algorithm demonstrates good generalization to untrained channels and test datasets from different domains.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Self-Supervised Adaptive Weighting for Cooperative Perception in V2V Communications


    Beteiligte:
    Liu, Chenguang (Autor:in) / Chen, Jianjun (Autor:in) / Chen, Yunfei (Autor:in) / Payton, Ryan (Autor:in) / Riley, Michael (Autor:in) / Yang, Shuang-Hua (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2024-02-01


    Format / Umfang :

    2101784 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Value-Anticipating V2V Communications for Cooperative Perception

    Higuchi, Takamasa / Giordani, Marco / Zanella, Andrea et al. | IEEE | 2019



    Multi-level hybrid vehicle-to-anything communications for cooperative perception

    ALTINTAS ONUR / HIGUCHI TAKAMASA | Europäisches Patentamt | 2020

    Freier Zugriff

    Multi-Level Hybrid Vehicle-to-Anything Communications for Cooperative Perception

    ALTINTAS ONUR / HIGUCHI TAKAMASA | Europäisches Patentamt | 2019

    Freier Zugriff