Machine Learning-Assisted UAV Operations with the UTM: Requirements, Challenges, and Solutions

Author:

Abdalla Aly Sabri1,Marojevic Vuk1

Affiliation:

1. Mississippi State University,Department of Electrical and Computer Engineering,MS,USA,39762

Publisher

IEEE

Cited by 10 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. Holistic Review of UAV-Centric Situational Awareness: Applications, Limitations, and Algorithmic Challenges;Robotics;2024-07-29

2. A Critical Review of Information Provision for U-Space Traffic Autonomous Guidance;Aerospace;2024-06-12

3. 6G-enabled Situation-Aware ML-assisted UTM (6G-SAMU);2024 International Wireless Communications and Mobile Computing (IWCMC);2024-05-27

4. Towards Engineering Fair and Equitable Software Systems for Managing Low-Altitude Airspace Authorizations;Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Society;2024-04-14

5. Lead Time Analysis for UAVs’ Failure Prediction in U-space;2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing (PRDC);2023-10-24

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