您当前的位置：
首页 >
文章列表页 >
Intelligent vehicle collision risk assessment considering dual uncertainties
更新时间：2025-11-14

    • Intelligent vehicle collision risk assessment considering dual uncertainties

    • “In the field of intelligent driving, experts have proposed a dual uncertainty collision risk assessment method to provide a solution for improving the safety of intelligent vehicles.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 8, Pages: 2597-2610(2025)
    • 作者机构：

      1.吉林大学 汽车工程学院，长春 130022

      2.吉林大学 汽车仿真与控制国家重点实验室，长春 130022

    • DOI：10.13229/j.cnki.jdxbgxb.20231290    

      CLC： U491

    • Received：24 April 2024，

      Published：01 August 2025

    移动端阅览

  • ZHAO Rui,YUAN Qi-rui,LIAN Jia-jun,et al.Intelligent vehicle collision risk assessment considering dual uncertainties[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(08):2597-2610. DOI： 10.13229/j.cnki.jdxbgxb.20231290.

  •  
  •  

0

Views

5

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Multimodal trajectory prediction based on target anchor-driven
Trajectory prediction and interception algorithm for large maneuvering multi-rotor UAV
Uncontrolled intersections decision⁃making method for intelligent driving vehicles based on Level⁃K
Trajectory prediction model for intelligent connected vehicle
Driver behavior recognition method based on dual-branch and deformable convolutional neural networks

Related Author

GAO Fei
TANG Ming-hong
ZHAO Rui
BAO Ming-xi
GAO Zhen-hai
SHU Zhen-jie
CHE Jia-xing
BIAN Jing-yuan

Related Institution

National Key Laboratory of Automotive Chassis Integration and Bionics， Jilin University
China Aero⁃Polytechnology Establishment of AVIC
School of Automation Science and Electrical Engineering， Beihang University
Unilink Intelligent Control（Beijing） Technology Co.， Ltd.
College of Computer Science and Technology， Jilin University
0