无人机路径规划算法研究综述
Research Review of UAV Path Planning Algorithms

近年来随着技术和市场的不断发展，无人机的应用越来越广泛。而无人机路径规划算法作为其中重要的一环，在保证准确性和安全性的同时为其提供了关键的技术支撑。本文对无人机路径规划算法的研究进行了综述，依次介绍了传统路径规划算法中的搜索算法与采样算法以及智能仿生算法等的基本原理、在路径规划中的应用研究及其优缺点。最后，本文对未来无人机路径规划算法的发展趋势进行了展望。我们认为未来的无人机路径规划算法将更加注重实时性、高效性和智能化，针对不同的任务和应用场景研究相应的多无人机协同路径规划方法，并在多学科领域中进行深入交叉与融合。
With the continuous development of technology and market in recent years, the application of UAVs is becoming more and more widespread. The UAV path planning algorithm, as an important part of it, provides key technical support while ensuring accuracy and safety. This paper reviews the research on UAV path planning algorithms, and introduces the basic principles of the traditional path planning algorithms such as search algorithms and sampling algorithms, as well as intelligent bionic algorithms, their application in path planning and their advantages and disadvantages in turn. Finally, this paper provides an outlook on the future development trend of UAV path planning algorithms. We believe that future UAV path planning algorithms will focus more on real-time, efficiency and intelligence, and research corresponding multi-UAV collaborative path planning methods for different tasks and application scenarios, and carry out indepth intersection and integration in multidisciplinary fields.