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基于遗传算法的无人机航迹规划

UAV Route Planning and Obstacle Avoidance
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摘要 本项目设计融合无人飞行器,航迹规划和测距避障等技术,研发具有能自主规划航迹,实现从无人机遥控飞行技术向智能化地自主规划航迹飞行技术的转变,并且重点解决无人机在威胁代价(地形、环境等)下实现无人工控制、自主地规划航迹进行飞行并完成任务的复杂智能技术问题从而提高任务的完成率以及大大缩短任务的完成时间。 This project is designed to integrate technologies such as unmanned aerial vehicles, trajectory planning, distance measurement and obstacle avoidance, etc. The research and development have the ability to independently plan trajectories and realize the transformation from UAV remote control flight technology to intelligently autonomous trajectory flight technology to solve the complex intelligent technical problems of unmanned aerial vehicles under the threat cost (terrain, environment, etc.) to achieve flight planning and complete tasks without artificial control, autonomously plan trajectories, thereby improving the task completion rate and greatly reducing the task completion time.
出处 《计算机科学与应用》 2020年第5期1034-1043,共10页 Computer Science and Application
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