Research on flight control method of multimodal UAV visual recognition gesture command based on deep learning
With the rapid development of UAV technology,gesture based control has been widely concerned in the field of UAV autonomous flight.An efficient gesture control algorithm for UAV is designed by using multimodal fusion technology.The ex-perimental results show that the accuracy of gesture recognition is as high as 0.98,the recall rate is 0.96,the minimum response time is 102.1 ms,and the maximum flight accuracy is 92.54%.This method has significant advantages in the accuracy and stability of gesture recognition and flight control.
UAVgesture recognitionmultimodal fusiondeep learningreal time response
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