A Hybrid Approach for Navigation of a Solar-powered UAV in a Dynamic Urban Environment

Siyuan Li, Jingwen Wei
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Abstract

This paper considers a scenario in which a solar-powered UAV travels in a dynamic urban environment with unknown static and moving obstacles. A framework is proposed, including a three-phase hybrid approach for this problem. Firstly, an energy-aware path planning algorithm is proposed based on the limited information of the environment. Secondly, a pure pursuit controller is applied to follow the pre-generated online path. Finally, an energy-aware reactive obstacle avoidance algorithm is used to avoid collision with unknown obstacles. The effectiveness of the proposed framework is verified based on computer simulation.
在动态城市环境中为太阳能无人机导航的混合方法
本文考虑了太阳能无人机在动态城市环境中飞行的情景,该环境中存在未知的静态和移动障碍物。本文提出了一个框架,包括针对该问题的三阶段混合方法。首先,基于有限的环境信息,提出了一种能量感知路径规划算法。其次,应用纯追逐控制器来遵循预先生成的在线路径。最后,使用能量感知的反应式避障算法来避免与未知障碍物发生碰撞。计算机模拟验证了所提框架的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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