公开(公告)号：US20240190442A1

公开(公告)日：2024-06-13

申请号：US17802143

申请日：2022-01-07

Applicant: JIANGSU UNIVERSITY

Inventor： Yingfeng CAI ,  Chenglong TENG ,  Xiaoxia XIONG ,  Hai WANG ,  Xiaodong SUN ,  Qingchao LIU

IPC: B60W40/09 ,  B60W40/107

CPC classification number: B60W40/09 ,  B60W40/107 ,  B60W2520/105 ,  B60W2540/30

Abstract: 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.