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部署无人机的很多利益可以从自主任务得到。然而,对于那些任务避免障碍物的感知和避免能力是一个决定性的要求。碰撞避免可以概括性得分类为全局和局部路径规划算法,并且为保证成功的完成任务两种算法均需要被很好的应用和处理。然而全局路径规划明显是为到达目标点而进行的路径规划,局部碰撞避免算法是很快速、反应性的并且被应用在在线路经规划中,在意外的和无法预料的障碍物避碰中确保无人机的飞行安全。本文综述了关于无人机避碰问题的已有的和进化的算法,更加详尽的介绍了局部碰撞避免问题。
Much of the benefits of deploying drones can be obtained on their own. However, it is a decisive requirement for those tasks to avoid the perception and avoidance of obstacles. Collision avoidance can be summarized as a global and local path planning algorithm, and to ensure the successful completion of the task of both algorithms need to be well applied and processed. However, the global path planning is obviously a path planning for reaching the target point. The local collision avoidance algorithm is very fast and reactive and is used in the planning of circuits to ensure accidental and unforeseen obstacle avoidance UAV flight safety. This article summarizes the existing and evolutionary algorithms for UAV collision avoidance problems and presents a more detailed description of the local collision avoidance problem.