Abstract：With battlefields becoming more complex, timely and accurate information acquisition is crucial for decision-making. Traditional unmanned aerial vehicle (UAV) reconnaissance path planning methods can no longer adapt to dynamic and complex environments effectively. This study proposed a reconnaissance path planning technique for unmanned aerial vehicles (UAVs) using the optimization of Bézier curves, which can accurately construct flight paths adapted to complex environments by utilizing the flexibility and geometric properties of Bézier curves and combining with the secondary optimization algorithm. The execution efficiency and safety of this path-planning technique were verified in actual flight tests conducted in a simulated battlefield environment. Comparative experiment results show that the proposed technique significantly enhances the efficiency and accuracy of UAV reconnaissance, allowing rapid decision-making and action in battlefields, proving its feasibility and effectiveness in practical applications.
李徐, 董伟, 杜泽弘. 复杂环境约束下的飞行航路规划研究[J]. 空天防御, 2024, 7(4): 99-105.
LI Xu, DONG Wei, DU Zehong. Research on Flight Path Planning Under Complex Environmental Constraints. Air & Space Defense, 2024, 7(4): 99-105.
