Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"UAV swarms"”.
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Establishing temporary networks for disaster relief using UAV swarms
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-05-01
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Collaborative Autonomy of Multi-Agent Aerial Systems for Future Disaster Response
… path-planning framework for large-scale UAV swarms in cluttered environments. A hybrid neighbor-forecasting strategy using a lightweight Transformer combined with constant-velocity prediction is developed, along with a learned local descriptor for directional crowding quantification and …
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Utilization of aerial sensor platforms for characterization of land-based, distributed radiological sources for radiological event response
… environment using an unmanned aerial vehicle (UAV) and commercial-of-the-shelf hardware and software was developed and implemented. High-altitude aerial surveys typically used for widespread distributed sources lack the spatial resolution needed to accurately describe the activity and exposure …
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Joint Communication, Control, and Learning for Connected and Autonomous Vehicles
… i.e., CAV platoons and unmanned aerial vehicle (UAV) swarms. Third, a distributed machine learning algorithm, i.e., federated learning (FL), is proposed for a swarm of connected and autonomous UAVs to execute tasks, such as coordinated trajectory planning and cooperative target recognition. In …
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RCP: A temporal clustering algorithm for real-time controller placement in software-defined networks
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms
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Trajectory planning under motion and sensing uncertainties: reachability analysis and connectivity maintenance
… of fixed-wing Unmanned Aerial Vehicles (UAVs). For connectivity maintenance of multi-robot systems, we develop a distributed Alternating Direction Method of Multipliers (ADMM) based trajectory planner that explicitly accounts for motion and sensing uncertainties. We simulate a multi-UAV …