Pedestrian pose estimation can provide a basis for planning and control systems of campus unmanned delivery vehicles to ensure pedestrian safety and improve delivery efficiency. A lightweight pedestrian pose estimation model is built in this paper, and a model training method incorporating campus pedestrian information is proposed. In order to verify the effectiveness of the proposed method and the real-time performance of the model, a comparative experiment is conducted and the real-time performance is tested on the server side and the AGV platform. The results show that the proposed model and training method can efficiently and accurately accomplish campus pedestrian pose estimation in real scene.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Pedestrian Pose Estimation for Campus Unmanned Delivery Vehicles


    Beteiligte:
    Jiang, Yuzhu (Autor:in) / Li, Ying (Autor:in) / Yang, Chao (Autor:in) / Wang, Weida (Autor:in) / Xu, Bin (Autor:in)


    Erscheinungsdatum :

    2023-10-27


    Format / Umfang :

    2285841 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Pedestrian Behavior Interpretation from Pose Estimation

    Yang, Jun / Gui, Along / Wang, Jiahao et al. | IEEE | 2021


    Campus unmanned express delivery trolley

    XIONG XINHONG / QUAN SHIWEN / ZHU YONGQUAN et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    Pedestrian Motion State Estimation From 2D Pose

    Li, Fei / Fan, Shiwei / Chen, Pengzhen et al. | IEEE | 2020



    Video-based pedestrian head pose estimation for risk assessment

    Schulz, Andreas / Stiefelhagen, Rainer | IEEE | 2012