您当前的位置：
首页 >
文章列表页 >
Optimization of infrared-visible road target detection by fusing GPNet and image multiscale features
更新时间：2025-05-26

    • Optimization of infrared-visible road target detection by fusing GPNet and image multiscale features

    • “In the field of road traffic safety, experts have established infrared and visible light fusion and target detection networks, verifying the advantages of technology application in road obstacle detection and providing solutions to improve the accuracy of road target detection.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 10, Pages: 2799-2806(2024)
    • 作者机构：

      1.吉林大学 交通学院，长春 130022

      2.中国第一汽车集团有限公司 产品策划及项目管理部，长春 130013

      3.长春汽车工业高等专科学校，长春 130031

    • DOI：10.13229/j.cnki.jdxbgxb.20230474    

      CLC： U492.8

    • Received：12 May 2023，

      Published：01 October 2024

    移动端阅览

  • SUN Wen-cai,HU Xu-ge,YANG Zhi-fa,et al.Optimization of infrared-visible road target detection by fusing GPNet and image multiscale features[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(10):2799-2806. DOI： 10.13229/j.cnki.jdxbgxb.20230474.

  •  
  •  

0

Views

7

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

Adaptive control strategy for isolated intersection based on phase queue simulation
Review of multi-object tracking based on deep learning
Human pose estimation based on graph structure guidance and location information enhancement
Multi-pedestrian tracking based on Transformer double branch detection and re-identification
Multi-view video speed extraction method that can be segmented across lane demarcation lines

Related Author

WANG Dao-bin
ZHAO Hui-hui
XU Yuan-yuan
LIU Zu-peng
JIANG Lai-wei
WANG Ce
YANG Hong-yu
GUAN Xin

Related Institution

College of Automobile and Traffic Engineering， Wuhan University of Science and Technology
School of Computer Science and Technology， Civil Aviation University of China
School of Safety Science and Engineering， Civil Aviation University of China
School of Microelectronics， Tianjin University
Changchun Shikai Technology Industry Co.， Research and Development Center
0