应急救援中智能无人机路径规划
Intelligent UAV Path Planning in Emergency Rescue

为了能使无人机在真实环境中实现更安全有效地安全避障，本文提出了基于改进的自适应遗传算法的无人机避障路径规划模型，利用matlab模拟出障碍物的三维模型后和所处的空间范围，应用遗传算法让无人机在三维环境中完成安全有效的路径规划，通过在不同形状的障碍物下进行仿真，仿真结果表明，改进后的避障路径规划模型能够快速找到一条更短更安全的路径，达到了在应急情况中无人机能够快速实施救援的目的。
This paper is proposed to make the unmanned aerial vehicle (UAV) in a real environment safe obstacle avoidance more safely and effectively, based on the improved adaptive genetic algorithm of unmanned aerial vehicle (UAV) obstacle avoidance path planning model, using the matlab simulate the 3D model of the obstacles and scope of space, after using a genetic algorithm for unmanned aerial vehicle (UAV) completed in the 3D environment is safe and effective path planning, Through the simulation under different shapes of obstacles, the simulation results show that the improved obstacle avoidance path planning model can quickly find a shorter and safer path, and achieve the purpose that the UAV can quickly implement rescue in emergency situations.