An Improved Artificial Potential Field Method for Aircraft Path Planning Based on Deep Reinforcement Learning
Author:
Affiliation:
1. Beijing Institute of Control and Electronic Technology,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10424971/10426625/10426727.pdf?arnumber=10426727
Reference15 articles.
1. A Literature Review on Unmanned Aerial Vehicle Trajectory Planning Algorithms;Ma
2. Three-dimensional Path Planning for Unmanned Aerial Vehicles based on Disturbance Flow Dynamic System: Methods and Applications;Wang;Unmanned System Technologies,2018
3. A Gaussian process-based RRT planner for the exploration of an unknown and cluttered environment with a UAV
4. Unmanned Aerial System Collision Avoidance Using Artificial Potential Fields
5. Research on Path Planning of Mobile Robots based on Improved Ant Colony Algorithm;Jiang;Journal of Instrumentation and Measurement,2019
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