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UAV path re-planning based on improved bidirectional RRT algorithm in dynamic environment

机译:动态环境下基于改进双向RRT算法的无人机路径重新规划

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An improved bidirectional RRT algorithm is proposed to solve the problem of path re-planning in a dynamic environment. The off-line path planning is carried out before the UAV takes off. During flight, if pop-up threat is detected, nodes which are affected by pop-up threat will be deleted and the remaining tree structure will be retained, then improved bidirectional RRT is used to path re-planning. A simple and efficient path pruning method is designed to delete redundant nodes on the path. The Bezier curve is used to smooth the path. Simulation results show that the proposed method can meet the demand of path re-planning in dynamic environment.
机译:提出了一种改进的双向RRT算法来解决动态环境下的路径重新规划问题。离线路径规划是在无人机起飞之前进行的。在飞行过程中,如果检测到弹出威胁,则将删除受弹出威胁影响的节点,并保留其余的树结构,然后使用改进的双向RRT进行路径重新规划。设计了一种简单有效的路径修剪方法,以删除路径上的冗余节点。贝塞尔曲线用于平滑路径。仿真结果表明,该方法能够满足动态环境下路径重新规划的需求。

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