现有无人机路径规划技术:系统综述

Anshu Vashisth, Ranbir Singh Batth, Rupert Ward
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引用次数: 12

摘要

近年来,无人机发展迅速,广泛应用于重建、救援、监测等领域。在所有领域中,一个重要的关键挑战是路径规划,它告诉无人机飞到哪里以及如何找到一条路径。理想路径规划的多重考虑包括路径完备性、最优性。在轨迹生成方面,路径规划的执行成为一项具有挑战性的任务,也需要仔细考虑。无人机(UAV)路径规划技术已经得到了广泛的研究,并涉及两个关键阶段。首先,识别三维物体和障碍物(静态和动态)。其次,将这些物体和障碍物映射到规划合适的路径。在无人机的背景下,我们可以根据路线图/Voronoi图(一种表示技术)来解释路径规划技术,或者我们可以采用使用合作或非合作技术的优化方法。这两种方法以及每种方法中使用的技术,根据无人机背景下讨论的关键因素进行了总结。本文使未来的研究可以很容易地与现有的和以前的研究进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Existing Path Planning Techniques in Unmanned Aerial Vehicles (UAVs): A Systematic Review
In recent times Unmanned Aerial Vehicle developed promptly and broadly used in many areas like reconstruction rescue and monitoring. In all the areas one important key challenge is path planning which tells UAVs that where to fly and how to find a path. The Multiple consideration is to be considered for an ideal path planning which includes path completeness, optimality. The execution of path planning becomes a challenging task in terms of trajectory generation and also require careful consideration. Unmanned Aerial Vehicle (UAV) path planning techniques have been extensively studied and involve two key stages. First, 3-D objects and obstacles (static and dynamic) are identified. Second, these objects and obstacles are mapped to plan an appropriate path. In the context of UAVs, we can explain path planning techniques in terms of roadmaps/Voronoi diagrams (a representation technique), or we can adopt an optimization approach using either cooperative or non-cooperative techniques. These two approaches, and the techniques used in each, are summarized in terms of the key factors that have been discussed in the context of UAVs. This paper, enables future studies to easily compare with existing and previous studies.
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