The invention relates to the technical field of vehicle auxiliary driving, and discloses a forward collision early warning optimization method and system based on a convolutional neural network, and the method comprises the steps: obtaining the related information of a main vehicle, and transmitting the related information to other vehicles; screening surrounding effective vehicles and acquiring basic information of the effective vehicles; judging driving directions of surrounding effective vehicles; judging whether the front vehicle meets the overtaken condition or not; when the front vehicle meets the overtaken condition, effective vehicles opposite to the driving direction of the main vehicle are screened, screening basic information is obtained, and a convolutional neural network is built to obtain positioning information of the effective vehicles opposite to the driving direction of the main vehicle; and according to the screened basic information and the positioning information, determining an effective vehicle with the most dangerous collision, and carrying out early warning on the main vehicle. Forward collision early warning is carried out on the vehicle by adopting two modes of inter-vehicle communication and the convolutional neural network, so that the accuracy of forward collision early warning is improved.

    本发明涉及车辆辅助驾驶技术领域,公开了一种基于卷积神经网络的前向碰撞预警优化方法及系统,方法包括获取主车的相关信息,并发送给其他车辆;筛选周围有效车辆并获取有效车辆的基本信息;判断周围有效车辆的行车方向;判断前车是否满足被超车条件;在前车满足被超车条件时,筛选与主车行驶方向相反的有效车辆并获取筛选基本信息,搭建卷积神经网络获取与主车行驶方向相反的有效车辆的定位信息;根据筛选基本信息和定位信息判断出最具有碰撞危险的有效车辆,并对主车进行预警。采用车辆间通信以及卷积神经网络两种方式对车辆进行前向碰撞预警,提高了前向碰撞预警的准确度。


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    Title :

    Convolutional neural network-based forward collision early warning optimization method and system


    Additional title:

    一种基于卷积神经网络的前向碰撞预警优化方法及系统


    Contributors:
    LI CAIWEI (author) / LYU YING (author)

    Publication date :

    2023-06-30


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V



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