Path Planning for Large-scale UAV Formation Based on Improved SA-APF Algorithm
Author:
Affiliation:
1. School of Electrical and Information Engineering, Tianjin University,Tianjin,China,300072
2. EFY Intelligent Control (Tianjin) Technology Co. ltd,Tianjin,China,300450
Funder
National Key Research and Development Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9901509/9901494/09901852.pdf?arnumber=9901852
Reference15 articles.
1. Three-Dimensional Path Planning of UAV Based on Improved Artificial Potential Field
2. Enhanced Artificial Potential Field-based Moving Obstacle Avoidance for UAV in Three-Dimensional Environment
3. A Mobility Model Based on Improved Artificial Potential Fields for Swarms of UAVs
4. Path Planning for Dense Drone Formation Based on Modified Artificial Potential Fields
5. Path planning for UAVS based on improved artificial potential field method through changing the repulsive potential function;liu;2016 IEEE Chinese Guidance Navigation and Control Conference,2016
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1. An Improved Artificial Potential Field UAV Path Planning Algorithm Guided by RRT Under Environment-Aware Modeling: Theory and Simulation;IEEE Access;2024
2. A Hybrid GA-APF 3D Trajectory Planning Method for Large-Scale UAV Formation Systems;2023 42nd Chinese Control Conference (CCC);2023-07-24
3. Optimized APF-ACO Algorithm for Ship Collision Avoidance and Path Planning;Journal of Marine Science and Engineering;2023-06-04
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