Optimized Coverage Deployment Strategy for a Network of UAVs Monitoring a Disaster Area on an Uneven Terrain

Search and Rescue (SAR) efforts in mountainous disaster areas with high and low elevations face significant challenges due to complex terrain and potential visual obstacles. Unmanned Aerial Vehicles (UAVs) offer a promising avenue to ensure full coverage monitoring in a safe and efficient manner. Th...

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Vydáno v:Proceedings (International Conference on Computer and Automation Engineering. Online) s. 583 - 587
Hlavní autor: Fang, Zixuan
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 14.03.2024
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ISSN:2154-4360
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Shrnutí:Search and Rescue (SAR) efforts in mountainous disaster areas with high and low elevations face significant challenges due to complex terrain and potential visual obstacles. Unmanned Aerial Vehicles (UAVs) offer a promising avenue to ensure full coverage monitoring in a safe and efficient manner. This study reveals a unique UAV optimal deployment technique customized for these high-demand situations. We focus on an optimal coverage algorithm that improves UAV deployment position and deployment height to improve search area coverage, avoid obstacle interference, and work in different terrain conditions. This combined optimization challenge ensured smooth and safe mission completion, cementing its position as a valuable asset for UAV operations in disaster-affected mountainous regions. Simulation tests confirmed that the strategy we introduced rapidly achieves extensive coverage of 3D uneven mountainous areas, thus emphasizing the potential and efficiency of the proposed algorithm.
ISSN:2154-4360
DOI:10.1109/ICCAE59995.2024.10569366