Deep-Learning Tracking for Autonomous Flying Systems Under Adversarial Inputs-Reference-Cited by-同舟云学术

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Deep-Learning Tracking for Autonomous Flying Systems Under Adversarial Inputs

Published:2020-04 Issue:2 Volume:56 Page:1444-1459
ISSN:0018-9251
Container-title:IEEE Transactions on Aerospace and Electronic Systems
language:
Short-container-title:IEEE Trans. Aerosp. Electron. Syst.

Author:

Carrillo Luis Rodolfo Garcia^ORCID,Vamvoudakis Kyriakos G.^ORCID

Funder

Army Research Office

Office of Naval Research

North Atlantic Treaty Organization

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Aerospace Engineering

Link

https://ieeexplore.ieee.org/ielam/7/9063575/8767968-aam.pdf

Cited by 14 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. Bipartite containment control of multi-agent systems subject to adversarial inputs based on zero-sum game;Information Sciences;2024-10

2. Visual-Based Moving Target Tracking With Solar-Powered Fixed-Wing UAV: A New Learning-Based Approach;IEEE Transactions on Intelligent Transportation Systems;2024-08

3. Robotic Spacecraft Testbed for Validation and Verification of AI-Attitude Controllers;AIAA SCITECH 2024 Forum;2024-01-04

4. Safely Learn to Fly Aircraft From Human: An Offline–Online Reinforcement Learning Strategy and Its Application to Aircraft Stall Recovery;IEEE Transactions on Aerospace and Electronic Systems;2023-12

5. Distributed Intelligent Adaptive Controller for Disturbance Rejection in Multiagent Systems;Journal of Aerospace Information Systems;2023-05

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