软件导刊2024，Vol.23Issue(8)：261-266,6.DOI:10.11907/rjdk.232076
基于手势的无人机飞行控制实验教学设计
Teaching Design of Flight Control via Hand Gestures for UAVs
摘要
Abstract
To solve the problems of loss,falling,collision and other issues that beginners may encounter during the initial practice stage of manipulating drone flight,a gesture based intelligent control experiment for drone flight is designed using AI technology.Firstly,capture the operator's gesture image through onboard or ground cameras;Then,the dynamic gesture recognition model loaded into the ground control sys-tem or onboard equipment is used to further process the image and obtain relevant flight control instructions;Next,the flight control instruc-tions will be sent to the drone control system to achieve the purpose of manipulating the drone's flight.In order to verify the performance of the dynamic gesture recognition model based on YOLOv5 algorithm,a dataset of more than 2 500 images containing 5 scenarios was constructed for validation.The experiment showed that this method not only has high accuracy for gesture recognition,but also has better intelligent detec-tion ability for images in new scenarios.The experimental design involves a comprehensive discipline,good functional scalability,and strong practicality.It is an innovative experimental project that integrates control system teaching,AI algorithm practice,and embedded systems.关键词
实验教学设计/飞行控制/手势识别/无人机/嵌入式系统Key words
experimental teaching design/flight control/hand gesture recognition/UAVs/embedded systems分类
社会科学引用本文复制引用
魏晓敏,李艳阳,孙聪,张海宾..基于手势的无人机飞行控制实验教学设计[J].软件导刊,2024,23(8):261-266,6.基金项目
中央高校基本科研业务费专项资金项目(ZYTS23165,ZYTS24141) （ZYTS23165,ZYTS24141）
国家自然科学基金项目(62232013,62272366) （62232013,62272366）
陕西省重点研发计划项目(2023-YBGY-371) （2023-YBGY-371）
