Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Probabilistic Vehicle Trajectory Prediction Based on LSTM Encoder-Decoder and Attention Mechanism


    Beteiligte:
    Zhang, Lijun (Autor:in) / Liu, Zihao (Autor:in) / Xiao, Wei (Autor:in) / Meng, Dejian (Autor:in)

    Kongress:

    SAE 2022 Intelligent and Connected Vehicles Symposium



    Erscheinungsdatum :

    01.01.2022


    Format / Umfang :

    ALL-ALL



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch



    Probabilistic Vehicle Trajectory Prediction Based on LSTM Encoder-Decoder and Attention Mechanism

    Meng, Dejian / Zhang, Lijun / Xiao, Wei et al. | SAE Technical Papers | 2022


    Crossing-Road Pedestrian Trajectory Prediction via Encoder-Decoder LSTM

    Xue, Peixin / Liu, Jianyi / Chen, Shitao et al. | IEEE | 2019


    SEQUENCE-TO-SEQUENCE PREDICTION OF VEHICLE TRAJECTORY VIA LSTM ENCODER-DECODER ARCHITECTURE

    Park, Seong Hyeon / Kim, ByeongDo / Kang, Chang Mook et al. | British Library Conference Proceedings | 2018


    Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture

    Park, Seong Hyeon / Kim, ByeongDo / Kang, Chang Mook et al. | IEEE | 2018