The invention discloses an intelligent vehicle positioning identification method and device based on deep learning. The method comprises the following steps: acquiring position information and judging that the position information is correct through a positioning threshold value; after the position information is correct, acquiring a face image of the driver and performing key frame extraction on the face image to obtain a target image; a feature extractor extracts features of a target image to obtain facial image features, the feature extractor is established based on a transformer model network architecture, the transformer model network architecture comprises a coding layer and a decoding layer, a plurality of convolution kernels are preset in the coding layer, a plurality of deconvolution kernels are preset in the decoding layer, the convolution kernels and the deconvolution kernels are trained, and the convolution kernels and the deconvolution kernels are extracted to obtain facial image features. Constructing an image feature extractor through the trained convolution kernel and deconvolution kernel; and matching the facial image features through the driver identity model, and if the goodness of fit between the facial image features and the driver identity model is equal to or greater than a preset threshold, unlocking the vehicle machine. The safety anti-theft performance of the vehicle is improved.

    本发明公开了一种基于深度学习的智能车机定位识别方法及装置,包括获取位置信息并通过定位阈值判定位置信息正确;位置信息正确后,获取驾驶者人脸影像并对人脸影像进行关键帧提取得到目标图像;通过特征提取器提取目标图像的特征得到面部图像特征,特征提取器基于transformer模型网络架构搭建,transformer模型网络架构包括编码层和解码层,编码层中预设若干个卷积核,解码层预设若干个反卷积核,对卷积核和反卷积核进行训练,通过训练好的卷积核和反卷积核构建图像特征提取器;通过驾驶者身份模型匹配面部图像特征,若面部图像特征与驾驶者身份模型的吻合度等于或大于预设阈值,则解锁车机。本发明提高了车辆安全防盗性能。


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    Titel :

    Intelligent vehicle positioning identification method and device based on deep learning


    Weitere Titelangaben:

    一种基于深度学习的智能车机定位识别方法及装置


    Beteiligte:
    CHEN FENG (Autor:in)

    Erscheinungsdatum :

    2023-02-24


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G06V / B60R Fahrzeuge, Fahrzeugausstattung oder Fahrzeugteile, soweit nicht anderweitig vorgesehen , VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / H04W WIRELESS COMMUNICATION NETWORKS , Drahtlose Kommunikationsnetze



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