The invention relates to a road condition monitoring and coping method for an unmanned commercial vehicle, and the method comprises the steps: building a real-time road surface rugged pit detection system through machine vision and deep learning, collecting a rugged pit road surface image, and judging whether the front part of the vehicle enters a bumpy road surface or not; if the front of the vehicle enters the bumpy road surface, whether the current road surface is the bumpy rugged road surface is further judged by obtaining a real-time vehicle body posture signal, a steering wheel angle signal and an air bag height signal of the unmanned vehicle, the bumpy rugged road surface is analyzed in real time, and the unmanned vehicle deals with the bumpy rugged road surface according to the analysis result; and the vehicle stability is improved.

    本发明涉及一种无人驾驶商用车路况监控及应对方法,该方法通过机器视觉和深度学习建立实时路面崎岖坑洼检测系统,采集崎岖坑洼路面图像判断车辆前方是否进入颠簸路面,若车辆前方进入颠簸路面则通过获取无人驾驶车辆实时的车身姿态信号、方向盘转角信号和气囊高度信号,进一步判断当前路面是否为颠簸崎岖路面,对颠簸崎岖路况进行实时分析,无人驾驶车辆根据分析结果进行应对,以提高车辆稳定性。


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    Titel :

    Road condition monitoring and coping method for unmanned commercial vehicle


    Weitere Titelangaben:

    一种无人驾驶商用车路况监控及应对方法


    Beteiligte:
    LIANG KEFENG (Autor:in) / ZHUANG ZHENJING (Autor:in)

    Erscheinungsdatum :

    04.04.2023


    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




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