The invention provides a multi-sensor data fusion method and system based on a neural network. The method comprises the following steps: collecting vehicle operation data through multiple sensors; performing data association on the vehicle operation data through a neural network model to obtain vehicle operation associated data; performing multi-sensor data fusion processing on the vehicle operation associated data to obtain a vehicle operation state model; and according to the vehicle running state model, predicting the vehicle running state. By combining the neural network model and multi-sensor data fusion, the method has the advantages of high data relevance and high data feature extraction information concentration degree of the neural network model, and also has the advantage of high comprehensive processing capability of multi-sensor data fusion on a huge data set.

    本发明提出了一种基于神经网络的多传感器数据融合方法及系统,所述方法包括以下步骤:通过多传感器收集车辆运行数据;通过神经网络模型对车辆运行数据进行数据关联,得到车辆运行关联数据;对车辆运行关联数据进行多传感器数据融合处理,得到车辆运行状态模型;根据车辆运行状态模型,对车辆运行状态进行预测。通过将神经网络模型和多传感器数据融合相结合,既具备了神经网络模型的数据关联性高,数据特征提取信息集中度高的优点,也具备了多传感器数据融合对庞大数据集的综合处理能力强的优点。


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    Title :

    Multi-sensor data fusion method and system based on neural network


    Additional title:

    一种基于神经网络的多传感器数据融合方法及系统


    Contributors:

    Publication date :

    2023-09-12


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / 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 / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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