高速旋转目标的转速测量及轨迹预测算法综述  

A Review of Rotational Speed Measurement and Trajectory Budgeting Algorithms for High-speed Rotating Targets

作　　者：张科[1] 耿亚宁 季云峰[1] ZHANG Ke;GENG Yaning;JI Yunfeng(School of Health Science and Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;Sports Department of SouthWest University of Political Science&Law,Chongqing 400030,China)

机构地区：[1]上海理工大学健康科学与工程学院,上海200093 [2]西南政法大学体育部,重庆400031

出　　处：《软件导刊》2025年第4期200-206,共7页Software Guide

基　　金：国家自然科学基金项目(62003214)。

摘　　要：物体在高速运动过程中受到的外力改变了其角动量,从而导致旋转的发生,而旋转产生的马格努斯力使物体轨迹变得难以预测。想要完成高速旋转目标的准确测量与轨迹预测离不开目标的检测、追踪以及运动建模。为提高研究人员对高速旋转目标转速测量与轨迹预测的了解程度,梳理体育、军事、自动驾驶等领域中关于高速旋转目标的研究文献,涵盖了从传统方法到深度学习算法的演变,重点分析计算机视觉算法及其难点、旋转测量与轨迹预测方法。通过全面梳理相关内容,发现现有高速旋转目标的转速测量及轨迹预测算法仍存在稳定性和实时性不足等挑战,后续仍需深入探索与实践。The external force acting on an object during high-speed motion changes its angular momentum,leading to rotation,and the Mag‐nus force generated by rotation makes the trajectory of the object difficult to predict.Accurate measurement and trajectory prediction of high-speed rotating targets cannot be achieved without target detection,tracking,and motion modeling.To improve researchers'understanding of high-speed rotating target speed measurement and trajectory prediction,this paper reviews research literature on high-speed rotating targets in fields such as sports,military,and autonomous driving,covering the evolution from traditional methods to deep learning algorithms.The fo‐cus is on analyzing computer vision algorithms and their difficulties,as well as rotation measurement and trajectory prediction methods.Through a comprehensive review of relevant content,it was found that existing algorithms for measuring the rotational speed and predicting tra‐jectories of high-speed rotating targets still face challenges such as insufficient stability and real-time performance,and further exploration and practice are needed in the future.

关 键 词：目标检测 旋转测量 轨迹预测 深度学习 检测精度 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]