您当前的位置:
首页 >
文章列表页 >
Improvement of feature point filtering algorithm for dynamic scenarios in substations based on fusion of YOLOv5 and ORB-SLAM
Maintanence and Inspection based on AI | 更新时间:2026-03-09
    • Improvement of feature point filtering algorithm for dynamic scenarios in substations based on fusion of YOLOv5 and ORB-SLAM

    • Experts propose an enhanced positioning and map construction architecture that integrates improved CA-YOLOv5 object detection to address the issue of decreased accuracy in intelligent inspection robot positioning and mapping under complex dynamic working conditions in substations. This provides an effective solution to address dynamic interference problems.
    • BLASTING   Vol. 48, Issue 2, Pages: 47-58(2026)
    • DOI:10.3969/j.issn.2097-0706.2026.02.005    

      CLC:
    • Received:15 September 2025

      Revised:2025-11-30

      Online First:23 December 2025

      Published:25 February 2026

    移动端阅览

  • HE Longqing,LI Xiaoyong,SHI Xin,et al.Improvement of feature point filtering algorithm for dynamic scenarios in substations based on fusion of YOLOv5 and ORB-SLAM[J].BLASTING,2026,48(02):47-58. DOI: 10.3969/j.issn.2097-0706.2026.02.005.

  •  
  •  

0

Views

1

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

ADC-YOLO:A lightweight dynamic attention detector for insulator inspection
Hybrid prediction of photovoltaic power generation based on modal secondary decomposition and OOA-CNN-BiLSTM-Attention
Architecture and key strategy of online state assessment system for substation auxiliary power supply system
Intelligent prediction model of CFB boiler bed temperature based on parallel control theory
Intelligent fault reasoning method for the substation monitoring system based on LSTM

Related Author

YIN Linfei
LIANG Beining
MA Longteng
LIU Haorui
YANG Na
MA Xin
ZHANG Yuanxi
YANG Guohua

Related Institution

(School of Electrical Engineering and Automation,Guangxi University,Nanning 530001,China
School of Electronic and Electrical Engineering,Ningxia University
School of Electrical Engineering,Beijing Jiaotong University
Beijing Sifang Automation Company Limited
School of Control and Computer Engineering,North China Electric Power University
0