Research on self-following intelligent vehicle control system based on gesture recognition
Aiming at the problem that the visual following effect of self-following low-speed intelligent vehicles is not ideal and the vehicles need to start and stop frequently,a vehicle control method based on gesture recognition is proposed.The Otsu method with Cr component of YCrCb color space is used to segment the threshold of hand image,the hand contour is extracted by morphological processing method,and the instruction recognition is carried out by support vector machine training model.The command is sent to the motion module to control the vehicles,and the following accuracy of the self-following low-speed intelligent vehicles is tested in three scenarios,i.e.,linear type,"L"type and"U"type.The results show that the gesture recognition method based on OpenCV can be used for the following control of intelligent vehicles.The average relative error of gesture recognition control is 1.16％,which is 71.85％lower than that of visual self-following control.
万方数据
维普
