In recent years, particularly since 2015, autonomous driving systems have developed rapidly. With the increase of autonomous driving levels, more precise detection and environment cognition are necessary. In this paper, a systematic review on vehicle behavior prediction in highway scenarios is carried out, including the role of vehicle behavior prediction in autonomous driving system, the application scenarios and the mechanisms of widely used vehicle behavior prediction methods such as the Bayesian network (BN) based method and the long short-term memory (LSTM) network-based method. The future directions of vehicle behavior prediction are discussed.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Review of Vehicle Behavior Prediction for Intelligent Driving Systems in Highway Scenarios


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:
    Wang, Zihan (Autor:in) / Li, Guozheng (Autor:in) / Peng, Lihui (Autor:in)


    Erscheinungsdatum :

    07.07.2024




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Vehicle detection algorithm for highway driving scenarios

    Zhang, Song / Ge, Jintian | SPIE | 2023




    Intelligent Vehicle Highway Systems

    Miller, M. | British Library Conference Proceedings | 1995