Based on a perception of an external environment of an autonomous vehicle, a driving style is recognized according to driving characteristic parameters indicating a driving aggressiveness degree and a mode shift preference, in response to a complexity of an individual driving behavior cognition. After the driving style is recognized, in accordance with group behavior characteristics of the motion bodies in the environment, a time-varying complex dynamical network is established based on a complex network with the motion bodies as nodes and roads as constraints, to serve as a complex environment model of the autonomous vehicle. Finally, the nodes in the complex environment model are parametrically represented to realize the node difference cognition of the complex environment. The nodes in the complex environment model are hierarchized by using an agglomerative algorithm to realize the hierarchical cognition of the complex environment.


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    Title :

    COMPLEX NETWORK-BASED COMPLEX ENVIRONMENT MODEL, COGNITION SYSTEM, AND COGNITION METHOD OF AUTONOMOUS VEHICLE


    Contributors:
    CAI YINGFENG (author) / TENG CHENGLONG (author) / XIONG XIAOXIA (author) / WANG HAI (author) / SUN XIAODONG (author) / LIU QINGCHAO (author)

    Publication date :

    2024-06-13


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    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





    Systems engineering, cognition and complex systems

    MacLeod, I. S. / European Association for Aviation Psychology | British Library Conference Proceedings | 1995


    Systems engineering, cognition and complex systems

    MacLeod, I. S. / European Association for Aviation Psychology | British Library Conference Proceedings | 1995