无人机航迹规划算法综述OA

To systematically review the progress in the field of unmanned aerial vehicle traiectory,this paper first analyzes the problem of UAV path planning and categorizes existing algorithms based on their algorithmic prin-ciples,highlighting the characteristics and applications of commonly used algorithms.Then,according to the im-provement ideas,the research of path planning algorithms in recent years is classified into the improvement based on the algorithm's own defects,the improvement based on environmental representation and the improvement based on multi-algorithm fusion.Finally,this paper points out the difficulties and challenges of path planning algo-rithm research and the shortcomings of existing research,and then looks forward to the future development trend on this basis.The research findings indicate that improvements to traditional algorithmsare relatively mature,while novel intelligent algorithms like grey wolf optimization and researches with reinforcement learning require further in-vestigation.What's more,current studies primarily focus on single-UAV scenarios,showing inadequacies in multi-UAV coordination and complex environment adaptability.Furthermore,it is essential to balance modeling accuracy with computational efficiency by developing more realistic modeling approaches to optimize trajectory planning algorithms.