汽车工程 ›› 2025, Vol. 47 ›› Issue (8): 1448-1458.doi: 10.19562/j.chinasae.qcgc.2025.08.002

• • 上一篇    

面向自动驾驶仿真的动态驾驶环境拓扑建模方法研究

贾鑫,张强(),张志恒,高金鹏,管欣   

  1. 吉林大学,汽车底盘集成与仿生全国重点实验室,长春 130025
  • 收稿日期:2024-10-16 修回日期:2025-02-06 出版日期:2025-08-25 发布日期:2025-08-18
  • 通讯作者: 张强 E-mail:qiangzhang18@mails.jlu.edu.cn
  • 基金资助:
    国家重点研发计划项目(2023YFB2504500);吉林省自然科学基金(SKL202302014)

Research on Topology Modeling Method of Dynamic Driving Environment for Automated Driving Vehicle Simulation

Xin Jia,Qiang Zhang(),Zhiheng Zhang,Jinpeng Gao,Hsin Guan   

  1. Jilin University,National Key Laboratory of Automotive Chassis Integration and Bionics,Changchun 130025
  • Received:2024-10-16 Revised:2025-02-06 Online:2025-08-25 Published:2025-08-18
  • Contact: Qiang Zhang E-mail:qiangzhang18@mails.jlu.edu.cn

摘要:

针对自动驾驶系统开发对于仿真工具的需求,面向当前复杂交通场景中驾驶关联信息组织缺乏完备、精简的表达模型和快速索引方法,提出了一种基于拓扑心理学原理的动态环境建模方法。通过建立类人思考模式的环境表征模型,类人记忆模式的信息储存及索引方法,实现驾驶决策所需环境信息的有效组织管理和快速筛选提取。本模型既能够用于交通仿真环境信息组织,又可以用于无人驾驶系统驾驶环境信息表征。在VTD仿真环境中建立了两种典型场景的动态驾驶环境模型,验证了本文方法的有效性。

关键词: 自动驾驶系统, 动态驾驶环境, 图数据库, 拓扑心理学, 格式塔心理学

Abstract:

To meet the requirements of simulation tools for automated driving system development, for the lack of complete and concise expression models and fast indexing methods for the driving related information in complex traffic scenarios, a dynamic driving environment modeling method based on topological psychological principles is proposed. With the environment representation model based on humanlike thinking patterns and the information storage and indexing methods based on humanlike memory patterns, effective organization, management, and rapid screening and extraction of environmental information required for driving decisions can be achieved. The model can be used for both traffic simulation and automated driving system. Two dynamic driving environment models of typical scenarios are established in VTD, and the effectiveness of the proposed method is verified.

Key words: automated driving system, dynamic driving environment, graph database, topological psychology, Gestalt psychology