The invention relates to a space-time coupling intelligent automobile risk assessment system considering motion uncertainty. The system comprises a traffic participant uncertainty kinematics information prediction module, a traffic participant anisotropy risk field module, a driving risk space distribution pseudo picture construction module and a space-time coupling driving risk assessment module. Risks generated by other traffic participants as risk sources in a traffic environment are described by constructing an anisotropic driving risk field, uncertainty prediction of future kinematics information of other traffic participants is introduced, and an uncertainty interactive coupling relationship between a vehicle and other traffic participants and a dynamic evolution mechanism of traffic situations are considered. Based on six-dimensional risk features, pseudo pictures covering risk space distribution information of a vehicle and eight surrounding traffic participants are constructed, historical and future driving risk space distribution pseudo picture sequences serve as input, space-time coupling driving risk levels are output, and the technical problem that space-time coupling accurate driving risk assessment is difficult to achieve is solved.

    本发明涉及一种考虑运动不确定性的时空耦合智能汽车风险评估系统,包括交通参与者不确定性运动学信息预测模块、交通参与者各向异性风险场模块、行车风险空间分布伪图片构造模块以及时空耦合行车风险评估模块;通过构建各向异性行车风险场来描述交通环境中其他交通参与者作为风险源所产生的风险,引入对其他交通参与者未来运动学信息的不确定性预测,考虑自车与其他交通参与者间的不确定性交互耦合关系和交通态势的动态演化机理,基于6维风险特征构造了涵盖自车及周围8个交通参与者风险空间分布信息的伪图片,以历史与未来的行车风险空间分布伪图片序列为输入,输出时空耦合行车风险等级,解决了难以实现时空耦合准确行车风险评估的技术难题。


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    Titel :

    Space-time coupling intelligent automobile risk assessment system considering motion uncertainty


    Weitere Titelangaben:

    一种考虑运动不确定性的时空耦合智能汽车风险评估系统


    Beteiligte:
    ZHAO JIAN (Autor:in) / SONG DONGJIAN (Autor:in) / ZHU BING (Autor:in) / YANG YILIN (Autor:in) / LIU BIN (Autor:in) / ZHAO WENBO (Autor:in)

    Erscheinungsdatum :

    04.07.2023


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

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



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