6-DOF UAV Path planning and tracking control for obstacle avoidance: a deep learning-based integrated approach-Reference-Cited by-同舟云学术

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6-DOF UAV Path planning and tracking control for obstacle avoidance: a deep learning-based integrated approach

Published:2024-08 Issue: Volume:151 Page:109320
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

Wang Yanxiang^ORCID,Wang Honglun^ORCID,Liu Yiheng,Wu Jianfa,Lun Yuebin

Publisher

Elsevier BV

Reference51 articles.

1. Model-guided reinforcement learning enclosing for UAVs with collision-free and reinforced tracking capability;Shao;Aerosp. Sci. Technol.,2023

2. UAV path planning and collision avoidance in 3D environments based on POMPD and improved grey wolf optimizer;Jiang;Aerosp. Sci. Technol.,2022

3. Three-dimensional collaborative path planning for multiple UCAVs based on improved artificial ecosystem optimizer and reinforcement learning;Niu;Knowl. Based Syst.,2023

4. Gaussian mixture model and self-organizing map neural-network-based coverage for target search in curve-shape area;Yao;IEEE Trans. Cybern.,2020

5. Performance-guaranteed neuroadaptive docking control for UAV aerial recovery under carrier maneuvering flight;Wang;IEEE Trans. Aerosp. Electron. Syst.,2023

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