Assured Integration of Machine Learning-based Autonomy on Aviation Platforms-Reference-Cited by-同舟云学术

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Assured Integration of Machine Learning-based Autonomy on Aviation Platforms

Published:2020-10-11 Issue: Volume: Page:
ISSN:
Container-title:2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC)
language:
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Author:

Asaadi Erfan,Beland Steven,Chen Alexander,Denney Ewen,Margineantu Dragos,Moser Matthew,Pai Ganesh,Paunicka James,Stuart Douglas,Yu Huafeng

Funder

Defense Advanced Research Projects Agency (DARPA)

Air Force Research Laboratory (AFRL)

Department of Defense

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9256401/9256402/09256475.pdf?arnumber=9256475

Cited by 5 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. Identifying the Hazard Boundary of ML-Enabled Autonomous Systems Using Cooperative Coevolutionary Search;IEEE Transactions on Software Engineering;2023-12

2. Assurance-driven Design of Machine Learning-based Functionality in an Aviation Systems Context;2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC);2023-10-01

3. A Model-Based Systems Engineering Approach for Developing an Autonomous Rover Testbed;AIAA SCITECH 2023 Forum;2023-01-19

4. Exploring Requirements for Software that Learns: A Research Preview;Requirements Engineering: Foundation for Software Quality;2023

5. Towards Certification of a Reduced Footprint ACAS-Xu System: A Hybrid ML-Based Solution;Lecture Notes in Computer Science;2021

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