Unmanned aerial vehicle control interface design and cognitive workload: A constrained review and research framework

2016 ◽  
Author(s):  
Wenjuan Zhang ◽  
David Feltner ◽  
James Shirley ◽  
Manida Swangnetr ◽  
David Kaber
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Interface Design ◽  
Vehicle Control ◽  
Cognitive Workload ◽  
Research Framework ◽  
Control Interface ◽  
Aerial Vehicle

Helmet-mounted displays for unmanned aerial vehicle control

2004 ◽  
Author(s):  
M. Ephimia Morphew ◽  
Jay R. Shively ◽  
Daniel Casey
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Vehicle Control ◽  
Aerial Vehicle

scholarly journals Modern Unmanned Aerial Vehicle Control Systems

2018 ◽  
pp. 84-90
Author(s):  
Sergiy V. Melnikov ◽  
◽  
Sergiy O. Bondar ◽  
Oleksiy Yu. Gospodarchuk ◽  
◽  
...  
Keyword(s):  
Control Systems ◽  
Unmanned Aerial Vehicle ◽  
Vehicle Control ◽  
Aerial Vehicle

scholarly journals СИСТЕМА РАСПОЗНАВАНИЯ СТЕГАНОГРАФИЧЕСКИ-ПРЕОБРАЗОВАННЫХ ГОЛОСОВЫХ КОМАНД УПРАВЛЕНИЯ БПЛА

2018 ◽  
pp. 20-28
Author(s):  
Александр Юрьевич Лавриненко ◽  
Юрий Анатольевич Кочергин ◽  
Георгий Филимонович Конахович
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Vehicle Control ◽  
Mel Frequency Cepstral Coefficients ◽  
Control Information ◽  
Cepstral Analysis ◽  
Voice Control ◽  
Aerial Vehicle ◽  
Cepstral Coefficients ◽  
The Difference ◽  
The Mathematical Model

It is created the system of recognition the steganographic-transformed voice commands of unmanned aerial vehicle control based on a cepstral analysis. It provides effective recognition and hidden commands transmission of to the board of an unmanned aerial vehicle, by converting voice control commands into a kind of steganographic characteristics vector, which implies the concealment of voice control information of an unmanned aerial vehicle. The mathematical model of the algorithm for calculating the mel-frequency cepstral coefficients and the recognition classifier of voice control commands for the solution of the problem of semantic identification and securing the control information of the unmanned aerial vehicle in the communication channel is synthesized. A software package has been developed that includes tools for compiling the base of reference voice images of subjects of management for training and testing the system for recognizing steganographic-transformed voice commands of the unmanned aerial vehicle control based on the cepstral analysis and computer models of the proposed methods and algorithms for recognition voice control commands in the MATLAB environment. The expediency of applying the proposed system for recognizing steganographic-transformed voice commands of the unmanned aerial vehicle control based on a cepstral analysis is substantiated and experimentally proved. An algorithm is presented for calculating the mel-frequency cepstral coefficients that appear in the role of the main features of recognition and the result of the steganographic transformation of speech, where for the evaluation of automatic recognition of voice commands using the results of classifier constructed by the criterion of minimum distance in the role which acts as the variance of the difference of the expectation of a mel-frequency cepstral coefficients. The obtained results of the experimental research allow to draw a conclusion about the expediency of further practical application of the developed system of recognition the steganographic-transformed voice commands of the unmanned aerial vehicle control based on the cepstral analysis

scholarly journals An algorithm of unmanned aerial vehicle control in search and rescue operations

2017 ◽  
pp. 1124-1129
Author(s):  
A.B. Bushuev ◽  
Yu.V. Litvinov ◽  
A.I. Tyurin ◽  
G.M. Shmigelsky ◽  
E.G. Shchaev
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Vehicle Control ◽  
Search And Rescue ◽  
Aerial Vehicle
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