Systems and methods for data fusion and analysis of vehicle sensor data, including receiving a multiple modality input data stream from a plurality of different types of vehicle sensors, determining latent features by extracting modality-specific features from the input data stream, and aligning a distribution of the latent features of different modalities by feature-level data fusion. Classification probabilities can be determined for the latent features using a fused modality scene classifier. A tree-organized neural network can be trained to determine path probabilities and issue driving pattern judgments, with the tree-organized neural network including a soft tree model and a hard decision leaf. One or more driving pattern judgments can be issued based on a probability of possible driving patterns derived from the modality-specific features.


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    Titel :

    DATA FUSION AND ANALYSIS ENGINE FOR VEHICLE SENSORS


    Beteiligte:
    TANG LUAN (Autor:in) / CHEN YUNCONG (Autor:in) / CHENG WEI (Autor:in) / CHEN ZHENGZHANG (Autor:in) / CHEN HAIFENG (Autor:in) / KOBAYASHI YUJI (Autor:in) / REN YUXIANG (Autor:in)

    Erscheinungsdatum :

    2023-04-13


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion




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