Multi-UAV Trajectory Planning and Tracking Via Improved Informed-RRT* and MPC Algorithms-Reference-Cited by-同舟云学术

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Multi-UAV Trajectory Planning and Tracking Via Improved Informed-RRT* and MPC Algorithms

Published:2023-12-01 Issue: Volume:45 Page:583-588
ISSN:
Container-title:2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI)
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Author:

Jiang Haosheng¹,Huang Zexian¹,Ma Ziyue¹,Zhang Zhenxing²,Wu Jian²,Ping Xubin¹

Affiliation:

1. School of Mechano-Electronic Engineering, Xidian University,Xi'an,China

2. System Engineering Research Center, Nanjing Institute of Simulation Technology,Nanjing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488913/10488921/10489390.pdf?arnumber=10489390

Reference15 articles.

1. Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges

2. A Comprehensive Review of Unmanned Aerial Vehicle Attacks and Neutralization Techniques

3. Multidrone Systems: More Than the Sum of the Parts

4. Research status and development of multi-UAV system mission planning;Wang;Systems Engineering and Electronics,2023

5. Optimal Task Allocation for Multiple UAVs

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