Research on Joint Optimization of Static Charging Point Layout and Path for Urban Unmanned Aerial Vehicles (UAVs) in PAD under Remote Sensing Image Feature Extraction Task Points

초록

This paper addresses the joint optimization problem of static charging point layout and path planning for urban UAVs tasked with remote sensing image feature extraction. A mixed integer linear programming (MILP) model is proposed to minimize total operational costs while satisfying UAV energy constraints and task requirements. The model integrates charging infrastructure deployment, UAV trajectory design, and task allocation. Simulation results based on real-world urban datasets demonstrate the effectiveness of the proposed approach, achieving a 9.1% reduction in energy consumption compared to conventional heuristics. © 2025 IEEE.

키워드