The invention relates to the field of traffic safety, in particular to a rear-end collision prevention system and method at a zebra crossing without a signal lamp. The braking prediction neural network model is used for predicting whether the vehicle is braked or not when passing through the zebra crossing without the signal lamp and the deceleration during braking, the brake lamp is lightened in advance according to the distance between the vehicle and the rear vehicle, the rear vehicle is prompted in advance, and the risk of traffic accidents is reduced.

    本发明涉及交通安全领域,具体涉及一种无信号灯的斑马线处防追尾系统及方法。本发明使用制动预测神经网络模型预测出车辆将要通过无信号灯的斑马线时是否制动及制动时的减速度大小,根据自车与后车之间的距离提前点亮刹车灯,提前对后车进行提示,减少发送交通事故的风险。


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    Titel :

    System and method for preventing rear-end collision at zebra crossing without signal lamp


    Weitere Titelangaben:

    一种无信号灯的斑马线处防追尾系统及方法


    Beteiligte:
    SUN QINYU (Autor:in) / ZHAO JIKANG (Autor:in) / ZHAO XIA (Autor:in) / LI CHAO (Autor:in) / WANG CHANG (Autor:in)

    Erscheinungsdatum :

    2022-11-18


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    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 / B60Q ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL , Anordnung von Signal- oder Beleuchtungsvorrichtungen, deren Einbau oder Halterung oder deren Schaltkreise bei Fahrzeugen allgemein / G06V



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