三维环境下无人机路径规划算法研究综述

Review of UAV Path Planning Algorithms in 3D Environment

随着无人机技术的发展,无人机已被广泛应用于军事、娱乐、农业、救援、航空航天、电力巡检等领域。其中,无人机路径规划算法研究是保证无人机能否顺利完成任务的关键。目前,无人机路径规划算法主要分为传统的路径规划优化算法、启发式路径优化算法和群智能仿生路径优化算法等三类。详细阐述了三种算法的分类,深入介绍了各种算法的基本原理、代表性研究及其优缺点,并针对后续研究进行了展望。

With the development of UAV technology, UAVs have been widely used in military, entertainment, agriculture, rescue, aerospace, power inspection and other fields. Among them, the research on the UAV path planning algorithm is the key to ensure that the UAV can successfully complete the mission. Currently, UAV path planning algorithms are mainly divided into three categories: traditional path planning optimization algorithms, heuristic path optimization algorithms, and swarm intelligence bionic path optimization algorithms. The classification of the three algorithms is elaborated in detail, the basic principles, representative research and their advantages and disadvantages of various algorithms are introduced in depth, and the prospects for follow-up research are given.