运动规划
计算机科学
路径(计算)
钥匙(锁)
背景(考古学)
弹道
平面图(考古学)
沃罗诺图
人工智能
实时计算
机器人
计算机安全
数学
生物
程序设计语言
考古
古生物学
物理
历史
天文
几何学
作者
Anshu Vashisth,Ranbir Singh Batth,Rupert Ward
标识
DOI:10.1109/iccike51210.2021.9410787
摘要
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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