Object Detection Method of Overhead Lines Equipment Based on Improved YOLOv3

您当前的位置：

首页 >

文章列表页 >

更新时间：2022-12-27

- Object Detection Method of Overhead Lines Equipment Based on Improved YOLOv3
- Software Guide Vol. 21, Issue 10, Pages: 109-114(2022)
- 作者机构：
  
  1.兰州交通大学国家绿色镀膜技术与装备工程技术研究中心
  2.兰州交通大学机电工程学院
  3.兰州交通大学光电技术与智能控制教育部重点实验室,甘肃兰州 730070
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.212681
  CLC：
扫描看全文
令晓明,顾䶮楠,范少良等.基于改进YOLOv3的接触网设备目标检测方法[J].软件导刊,2022,21(10):109-114.

LING Xiao-ming,GU Yan-nan,FAN Shao-liang,et al.Object Detection Method of Overhead Lines Equipment Based on Improved YOLOv3[J].Software Guide,2022,21(10):109-114.
令晓明,顾䶮楠,范少良等.基于改进YOLOv3的接触网设备目标检测方法[J].软件导刊,2022,21(10):109-114. DOI： 10.11907/rjdk.212681.

LING Xiao-ming,GU Yan-nan,FAN Shao-liang,et al.Object Detection Method of Overhead Lines Equipment Based on Improved YOLOv3[J].Software Guide,2022,21(10):109-114. DOI： 10.11907/rjdk.212681.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Orchard Obstacle Detection Algorithm Based on Ghost-CA-YOLOv4

Construction of Coal Mine Intelligent Platform Based on Domestic Controllable CPU Architecture

Application Progress on Convolutional Neural Network in Prostate Multiparameter MRI

Survey of Steel Surface Defect Detection Research

Crowd Detection and Statistical Methods Based on YOLOv3 Algorithm in Classroom Scenes

Related Author

No data

Related Institution

School of Electrical and Information Engineering，Jiangsu University

School of Communication and Information Engineering,Xi'an University of Science and Technology

Xi'an Heavy Industry Weiken Electric Co., Ltd.

Shandong Energy Group Northwest Mining Co.,Ltd.

CEC Xingyuan Technology Co.,Ltd.

⁰