您当前的位置：
首页 >
文章列表页 >
Research on Upper and Lower Body Pedestrian Detection in Lawn Based on YOLO-CGO Environment
Graphic and Image Processing | 更新时间：2024-12-30
|

    • Research on Upper and Lower Body Pedestrian Detection in Lawn Based on YOLO-CGO Environment

    • “In the field of pedestrian detection in lawn environments, the YOLO-CGO model has significantly improved detection accuracy and speed through lightweight improvements, providing a new approach for the automation of lawn mowing robots.”
    • Software Guide   Vol. 23, Issue 12, Pages: 213-219(2024)

    • DOI：10.11907/rjdk.232301    

      CLC： TP391.4

    • Published：16 December 2024，

      Received：23 January 2024，

    移动端阅览

  • LIN Chuanqu,ZENG Xinhua,LONG Wei,et al.Research on Upper and Lower Body Pedestrian Detection in Lawn Based on YOLO-CGO Environment[J].Software Guide,2024,23(12):213-219. DOI： 10.11907/rjdk.232301.

  •  
  •  

0

Views

0

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

Research on Improved YOLOV5 Algorithm for Dense Pedestrian Detection
Detection Algorithm of Electric Power Operation Wearable Device Based on GSConv Lightweight YOLOv5s
Lightweight and Improvement of Aerial Photography Small Target Detection Algorithm Based on YOLOv8s
An Improved YOLOv5 Electric Vehicle Helmet Wearing Detection Method
Research on Lightweight Remote Sensing Image Semantic Segmentation Method Based on Multilayer Perceptron

Related Author

LIU Yang
ZHANG Lu
WEI Hongao
WEI Benchang
ZHOU Longgang
WANG Xingjian
ZHOU Yang
HU Guoqiang

Related Institution

School of Electrical and Information Engineering， Hubei University of Automotive Technology
School of Software Engineering， Jiangxi University of Technology
School of Software， Jiangxi Normal University
Computer College， Nanjing University of Posts and Telecomunications
State Grid Jiangxi Electric Power Co
0