AI-Assisted UAV Swarms Detection

This study introduces an agnostic methodology for achieving synchronized fusion of Infrared (MWIR and LWIR) and Radar data to enhance the visualization of drone swarms and the identification of bird flocks. The proposal encompasses spatial and temporal fusion mechanisms, providing a detailed analysis. The effectiveness of the approach is demonstrated through simulated test cases, demonstrating its potential to improve the presentation and analysis of drone swarm data.

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Publication Details

Published
2024-09-30
DOI
https://doi.org/10.1109/aixset62544.2024.00039
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
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article

AI-Assisted UAV Swarms Detection

Fred Mohamadi
Distributed Control Multi-Agent Systems
article

AI-Assisted UAV Swarms Detection

Fred Mohamadi
article en

Abstract

This study introduces an agnostic methodology for achieving synchronized fusion of Infrared (MWIR and LWIR) and Radar data to enhance the visualization of drone swarms and the identification of bird flocks. The proposal encompasses spatial and temporal fusion mechanisms, providing a detailed analysis. The effectiveness of the approach is demonstrated through simulated test cases, demonstrating its potential to improve the presentation and analysis of drone swarm data.

Advanced Systems & Technologies (United States) (US)
Openalex Percentile: Top 75%
Distributed Control Multi-Agent Systems
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AI-Assisted UAV Swarms Detection — Fred Mohamadi · (2024) | TGRS Research Map | TGRS