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首页> 外文期刊>Computer Communications >Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges
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Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges

机译：无人机路径规划技术：回顾，解决方案和挑战

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摘要

Path planning is one of the most important problems to be explored in unmanned aerial vehicles (UAVs) for finding an optimal path between source and destination. Although, in literature, a lot of research proposals exist on the path planning problems of UAVs but still issues of target location and identification persist keeping in view of the high mobility of UAVs. To solve these issues in UAVs path planning, optimal decisions need to be taken for various mission-critical operations performed by UAVs. These decisions require a map or graph of the mission environment so that UAVs are aware of their locations with respect to the map or graph. Keeping focus on the aforementioned points, this paper analyzes various UAVs path planning techniques used over the past many years. The aim of path planning techniques is not only to find an optimal and shortest path but also to provide the collision-free environment to the UAVs. It is important to have path planning techniques to compute a safe path in the shortest possible time to the final destination. In this paper, various path planning techniques for UAVs are classified into three broad categories, i.e., representative techniques, cooperative techniques, and non-cooperative techniques. With these techniques, coverage and connectivity of the UAVs network communication are discussed and analyzed. Based on each category of UAVs path planning, a critical analysis of the existing proposals has also been done. For better understanding, various comparison tables using parameters such as-path length, optimality, completeness, cost-efficiency, time efficiency, energy-efficiency, robustness and collision avoidance are also included in the text. In addition, a number of open research problems based on UAVs path planning and UAVs network communication are explored to provide deep insights to the readers.
机译：路径规划是无人飞行器（UAV）要寻找源与目的地之间最佳路径的最重要问题之一。尽管在文献中，关于无人机的路径规划问题存在许多研究建议，但是鉴于无人机的高机动性，目标定位和识别问题仍然存在。为了解决无人机路径规划中的这些问题，需要对无人机执行的各种关键任务操作做出最佳决策。这些决策需要任务环境的地图或图形，以便无人机知道其相对于地图或图形的位置。着眼于上述几点，本文分析了过去几年中使用的各种无人机路径规划技术。路径规划技术的目的不仅在于寻找最佳和最短路径，而且还为无人机提供无碰撞环境。重要的是要拥有路径规划技术，以在尽可能短的时间内计算出到达最终目的地的安全路径。在本文中，用于无人机的各种路径规划技术被分为三大类，即代表性技术，协作技术和非协作技术。利用这些技术，讨论和分析了无人机网络通信的覆盖范围和连通性。基于无人机路径规划的每个类别，还对现有建议进行了严格的分析。为了更好地理解，本文中还包括使用参数的各种比较表，例如路径长度，最优性，完整性，成本效率，时间效率，能源效率，鲁棒性和避免碰撞。此外，探索了许多基于无人机路径规划和无人机网络通信的开放研究问题，以为读者提供深刻的见解。

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