Teaching Design of Flight Control via Hand Gestures for UAVs
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.
experimental teaching designflight controlhand gesture recognitionUAVsembedded systems
国家科技期刊平台
NSTL
万方数据
