您当前的位置:
首页 >
文章列表页 >
Research on Loop Closure Detection Algorithm Based on Capsule Network
Artificial Intelligence | 更新时间:2025-02-26
    • Research on Loop Closure Detection Algorithm Based on Capsule Network

    • In the field of SLAM, researchers have proposed the SeqCNLCD loop detection algorithm based on capsule networks, which effectively improves the robustness under camera angle changes.
    • Software Guide   Vol. 24, Issue 2, Pages: 48-55(2025)
    • DOI:10.11907/rjdk.232147    

      CLC: TP399
    • Received:27 October 2023

      Published:28 February 2025

    移动端阅览

  • ZHANG Senjun,SHEN Yan.Research on Loop Closure Detection Algorithm Based on Capsule Network[J].Software Guide,2025,24(02):48-55. DOI: 10.11907/rjdk.232147.

  •  
  •  

0

Views

36

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

Image Classification Method Using Capsule Network Integrated into Selective Kernel Networks
Laser Vision Fusion Localization Algorithm Based on Environment Judgment
Study on Crop Planting Structure Extraction of Qingling River Irrigation Area in the Central Yunnan Plateau Based on Sentinel-2A Images
Wafer Surface Defect Detection Based on Improved Autoencoder and Deep Feature Extractor

Related Author

Ze-xuan CHEN
Lian-zhi YU
CAO Yibo
FAN Jingwen
YANG Zhengdong
ZHAO Jiaheng
ZHONG Xue
YANG Minglong

Related Institution

School of Optical-electrical and Computer Engineering, University of Shanghai for Science and Technology
School of Software, South China Normal University
Kunming Surveying and Mapping Institute
Application Engineering Research Center of Spatial Information Surveying and Mapping Technology in Plateau and Mountainous Areas Set by Universities in Yunnan Province
School of Land Resources Engineering Kunming University of Science and Technology
0