In this work a new algorithm to optimize coverage path planning for a flock of UAVs is described. The method is the evolution of previously implemented works by the authors and aims to improve the power consumption by clustering adjacent coverage cells to be surveyed into macro-cells. The generation of trajectories is performed with a GIS-like tool developed in MATLAB. Several simulations are reported to show the validity of the proposed approach.
Multi-UAV Coverage Path Planning for Agricultural Applications
Guastella D. C.;Muscato G.
;Sutera G.
2024-01-01
Abstract
In this work a new algorithm to optimize coverage path planning for a flock of UAVs is described. The method is the evolution of previously implemented works by the authors and aims to improve the power consumption by clustering adjacent coverage cells to be surveyed into macro-cells. The generation of trajectories is performed with a GIS-like tool developed in MATLAB. Several simulations are reported to show the validity of the proposed approach.File in questo prodotto:
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