Reinforcement Learning Training Environment for Fixed Wing UAV Collision Avoidance-Reference-Cited by-同舟云学术

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Reinforcement Learning Training Environment for Fixed Wing UAV Collision Avoidance

Published:2022 Issue:39 Volume:55 Page:281-285
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

d'Apolito Francesco

Publisher

Elsevier BV

Subject

General Medicine

Reference26 articles.

1. Real-time obstacle collision avoidance for fixed wing aircraft using b-splines;Alturbeh,2014

2. Jsbsim: An open source flight dynamics model in c++;Berndt,2004

3. Deep reinforcement learning attitude control of fixed-wing uavs using proximal policy optimization;Bøhn,2019

4. Central processing unit for an autopilot: Description and hardware-in-the-loop simulation;Bittar;Journal of Intelligent & Robotic Systems,2013

5. Openai gym;Brockman;arXiv preprint,2016

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Review of Reinforcement Learning for Fixed-Wing Aircraft Control Tasks;IEEE Access;2024

2. Reinforcement Learning Methods for Fixed-Wing Aircraft Control;2023 9th International Conference on Systems and Informatics (ICSAI);2023-12-16

3. Design and Implementation of an Autonomous Control System for Simulated Fixed-Wing Unmanned Aerial Vehicles;2023 3rd International Conference on Robotics, Automation and Intelligent Control (ICRAIC);2023-11-24

4. Reinforcement Learning Based Assistive Collision Avoidance for Fixed-Wing Unmanned Aerial Vehicles;2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC);2023-10-01

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