您当前的位置:
首页 >
文章列表页 >
Deep Inverse Reinforcement Learning Based Real-time Dynamic Obstacle Avoidance Path Planning Algorithm for UAVs
Column:Industrial Software and Industrial Large Models | 更新时间:2025-11-25
    • Deep Inverse Reinforcement Learning Based Real-time Dynamic Obstacle Avoidance Path Planning Algorithm for UAVs

    • “The latest research has broken through the difficult problem of dynamic obstacle avoidance route planning for unmanned aerial vehicles, proposing a real-time planning algorithm that combines expert demonstrations and deep inverse reinforcement learning to effectively improve path safety and success rate.”
    • Software Guide   Vol. 24, Issue 10, Pages: 47-55(2025)
    • DOI:10.11907/rjdk.251048    

      CLC: G434
    • Received:19 January 2025,

      Published:15 October 2025

    移动端阅览

  • ZHANG Junchi,XIAN Yanning.Deep Inverse Reinforcement Learning Based Real-time Dynamic Obstacle Avoidance Path Planning Algorithm for UAVs[J].Software Guide,2025,24(10):47-55. DOI: 10.11907/rjdk.251048.

  •  
  •  

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

Application of UAV and Deep Learning in Building Real-time Detection
Lightweight Student Classroom Behavior Detection Algorithm Based on TAR-YOLO
Review of Research on Artificial Intelligence in the Field of Heart Sound Signal Detection
An Event Extraction Method in Specific Domains Combining Knowledge Graph
Research Progress on Protein De Novo Sequencing Methods Based on Deep Learning

Related Author

ZHANG Yang-yang
ZHAN Wei
SUN Chen-fan
LI Jinlong
ZHENG Lin
WANG Haoyu
JI Weidong
XIAO Peiyao

Related Institution

School of Computer Science, Yangtze University
College of Computer Science and Information Engineering, Harbin Normal University
Intelligent Laboratory for Teaching and Development of Future Teachers, Harbin Normal University
School of Health Science and Engineering,University of Shanghai for Science and Technology
Department of Cardiology,Shanghai General Hospital,Shanghai Jiao Tong University School of Medicine
0