论文标题
在动态环境中基于固定翼无人机的人造潜在领域的碰撞避免算法的重新重新制定
A reformulation of collision avoidance algorithm based on artificial potential fields for fixed-wing UAVs in a dynamic environment
论文作者
论文摘要
随着迷你无人机在平民工作领域变得越来越有用，他们需要在混乱的环境中安全操作的方法的需求正在增长，尤其是对于固定翼无人机而言，由于它们无法遵循停止执行的执行方法。本文介绍了基于人造潜在领域算法中使用的排斥力的改善的定义，以设计一种反应性冲突算法，以允许在杂乱无章的动态环境中可行且安全的固定翼无人机导航。我们在多种情况下提出了改进定义的模拟结果，我们还讨论了未来的研究以改善这些结果。
As mini UAVs become increasingly useful in the civilian work domain, the need for a method for them to operate safely in a cluttered environment is growing, especially for fixed-wing UAVs as they are incapable of following the stop-decide-execute methodology. This paper presents preliminary research to design a reactive collision avoidance algorithm based on the improved definition of the repulsive forces used in the Artificial potential field algorithms to allow feasible and safe navigation of fixed-wing UAVs in cluttered, dynamic environments. We present simulation results of the improved definition in multiple scenarios, and we have also discussed possible future studies to improve upon these results.
