Abstract With the development of deep learning technology, the problem of data‐driven trajectory prediction and intention recognition has been widely studied. However, the pedestrian trajectory prediction and intention recognition methods based solely on data‐driven have weak data description ability and black‐box characteristics, which cannot reason about pedestrian crossing intention and predict pedestrian crossing trajectory as humans do. To address the above problems, the authors proposed a data and knowledge‐driven pedestrian intention estimation and trajectory prediction method by imitating human cognitive mechanisms. In the pedestrian intention inference process, the authors adopted the knowledge‐driven method. As a first step, the authors built a knowledge graph of pedestrian crossing scenes, and then paired it with a Bayesian network to estimate pedestrian crossing intentions. In the pedestrian trajectory prediction process, the authors used a data‐driven approach, combining pedestrian crossing trajectory features and knowledge‐based pedestrian intentions. Experiments show that all evaluation metrics of pedestrian trajectory prediction were improved after adding pedestrian intentions obtained by knowledge‐driven.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Pedestrian intention estimation and trajectory prediction based on data and knowledge‐driven method


    Beteiligte:
    Jincao Zhou (Autor:in) / Xin Bai (Autor:in) / Weiping Fu (Autor:in) / Benyu Ning (Autor:in) / Rui Li (Autor:in)


    Erscheinungsdatum :

    2024




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Pedestrian intention estimation and trajectory prediction based on data and knowledge‐driven method

    Zhou, Jincao / Bai, Xin / Fu, Weiping et al. | Wiley | 2024

    Freier Zugriff

    A data-driven approach for pedestrian intention estimation

    Volz, Benjamin / Behrendt, Karsten / Mielenz, Holger et al. | IEEE | 2016


    Visual Exposes You: Pedestrian Trajectory Prediction Meets Visual Intention

    Zhong, Xian / Yan, Xu / Yang, Zhengwei et al. | IEEE | 2023



    Pedestrian intention estimation from egocentric data

    Konrad, Santiago Gerling / Masson, Favio R. | IEEE | 2017