Multidimensional Swarm Flight Approach For Chasing Unauthorized UAVs Leveraging Asynchronous Deep Learning
Tae-Won Ban, Kyu-Min Kang, Bang Chul Jung
TL;DR
This paper presents a new UAV chasing system that uses a multidimensional swarm approach combined with asynchronous deep learning to improve the tracking and neutralization of unauthorized UAVs.
Contribution
It introduces a novel multidimensional swarm flight method integrated with asynchronous deep learning for UAV chasing and neutralization.
Findings
Enhanced tracking accuracy of unauthorized UAVs
Improved neutralization success rate
Effective real-time response capabilities
Abstract
This paper introduces a novel unmanned aerial vehicles (UAV) chasing system designed to track and chase unauthorized UAVs, significantly enhancing their neutralization effectiveness.
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Taxonomy
TopicsMachine Learning and ELM · UAV Applications and Optimization · Distributed Control Multi-Agent Systems