Enhancing Counter Drone Operations Through Human-AI Collaboration: A Hierarchical Decision-Making Framework-Reference-Cited by-同舟云学术

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Enhancing Counter Drone Operations Through Human-AI Collaboration: A Hierarchical Decision-Making Framework

Published:2023-10-01 Issue: Volume: Page:
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Container-title:2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC)
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Author:

Mehta Varun,Kaza Kesav,Dadboud Fardad,Bolic Miodrag,Mantegh Iraj

Funder

National Research Council Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10311099/10311100/10311244.pdf?arnumber=10311244

Reference17 articles.

1. Key Technologies and System Trade-offs for Detection and Localization of Amateur Drones

2. Arms Smuggling in India: Exploring Links between Crime and Terrorism

3. Tracking and classification of drones and birds at a far distance using radar data;mehta;NATO-OTAN STO-MP-MSG-SET-183,2021

4. Machine Learning-Based Drone Detection and Classification: State-of-the-Art in Research

5. The case for drones in counter-insurgency operations in West African Sahel

Cited by 1 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. AI Empowered Drones: Analyzing Challenges and Crafting Solutions for Effective Regulation in Autonomous Operations from the Brazilian Landscape Perspective;2024 International Conference on Unmanned Aircraft Systems (ICUAS);2024-06-04

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