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An Efficient Energy Optimization Model for UAVs Coverage Path Planning
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DOI：10.1007/978-3-032-08381-4_24.png)
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Abstract
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We address the Coverage Path Planning (CPP) problem for UAVs and propose a novel energy-efficient mathematical optimization model. Our model is formulated as a mixed integer linear program (MILP) with binary variables that is efficiently solved using the CPLEX solver. The simulation results on synthetic data demonstrate the effectiveness of our approach in optimizing UAV patrol planning, underscoring its p otentialforreal-worlddeployment.
Keywords:
CPP
Optimization
Drone
UAV
Patrol
Airsim
QGroundControl
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ShareSaveCoverage Path Planning Based on the Optimization Strategy of Multiple Solar Powered Unmanned Aerial Vehicles.png)
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