您当前的位置:
首页 >
文章列表页 >
Driver's lane change intention recognition in snow and ice environment based on neural network
更新时间:2025-05-26
    • Driver's lane change intention recognition in snow and ice environment based on neural network

    • In the field of analyzing driving characteristics in icy and snowy environments, experts have established an intention recognition model based on neural networks, and verified the performance of the model through experiments, providing a solution for accurately identifying driver intentions.
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 1, Pages: 273-284(2023)
    • 作者机构:

      1.吉林大学 通信工程学院,长春 130012

      2.吉林大学 工程仿生教育部重点实验室,长春 130022

    • DOI:10.13229/j.cnki.jdxbgxb20210493    

      CLC: U491.2
    • Received:01 June 2021

      Published:01 January 2023

    移动端阅览

  • LU Hui-qiu,ZHAO Feng,XIE Bo,et al.Driver's lane change intention recognition in snow and ice environment based on neural network[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(01):273-284. DOI: 10.13229/j.cnki.jdxbgxb20210493.

  •  
  •  

0

Views

16

下载量

1

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

Setting method and effect evaluation of linear guiding system in highway tunnels
Collaborative control of tunnel speed and lighting based on driver’s visual characteristics
Adaptive scheduling method for bus based on autonomous modular vehicles main⁃auxiliary function allocation
Collision prevention performance of outsourced U-shaped steel concrete composite guardrail based on reasonable energy allocation
Nonlinear influence of built environment on temporal aggregation modes of shared bicycles

Related Author

YANG Yong-zheng
DU Zhi-gang
MEI Jia-lin
CHEN Guang-yong
ZHOU Shi-rui
TAO Chu-qing
WAN Li
WEI Wei

Related Institution

School of Transportation and Logistics Engineering, Wuhan University of Technology
Engineering Research Center of the Ministry of Transportation Information and Safety Education
Tunnel and Underground Engineering Design Branch, Shandong Provincial Communications Planning and Design Institute Group Company Limited
College of Transportation, Jilin University
Center for Big Data and Network Management, Jilin University
0