您当前的位置:
首页 >
文章列表页 >
Object-level dynamic simultaneous localization and mapping method fusing object detection and optical flow
Information Sciences | 更新时间:2025-06-19
    • Object-level dynamic simultaneous localization and mapping method fusing object detection and optical flow

    • In dynamic environments, an object level SLAM method combining object detection and optical flow has been proposed, effectively improving localization accuracy.
    • Optics and Precision Engineering   Vol. 33, Issue 8, Pages: 1314-1327(2025)
    • DOI:10.37188/OPE.20253308.1314    

      CLC: TP391
    • CSTR:32169.14.OPE.20253308.1313    
    • Received:11 November 2024

      Revised:15 January 2025

      Published:25 April 2025

    移动端阅览

  • LI Shuguang,CHEN Qinmei,SHI Jinlong,et al.Object-level dynamic simultaneous localization and mapping method fusing object detection and optical flow[J].Optics and Precision Engineering,2025,33(08):1314-1327. DOI: 10.37188/OPE.20253308.1314. CSTR: 32169.14.OPE.20253308.1313.

  •  
  •  

0

Views

4

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

RGB-D SLAM method of dynamic scene based on instance segmentation and optical flow
Multi-stage frame alignment video super- resolution network
Design and application of fast matching method based on support points expansion
Improved algorithm for motion image analysis based on optical flow and its application
Method of estimating image motion based on the optical flow model

Related Author

HUANG Shucheng
LU Jiawen
SUN Yunhan
BAI Suqin
ZHU Haowei
SHI Jinlong
WANG Chenggen
WANG Sen

Related Institution

School of Computer Science and Engineering, Jiangsu University of Science and Technology
State Key Laboratory for Novel Software Technology, Nanjing University
Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology
State Key Laboratory of Robotics and System, Harbin Institute of Technology2.School of Electronics and Information Engineering, Liaoning University of Science and Technology
School of Mechatronics Engineering and Automation, Shanghai University
0