Multi-resolution visual fiducial and assistant navigation system for unmanned aerial vehicle landing

2017 ◽  
Vol 67 ◽  
pp. 249-256 ◽  
Author(s):  
Chong Yu ◽  
Jiyuan Cai ◽  
Qingyu Chen
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Navigation System ◽  
Aerial Vehicle

Study of the route correction system for the on-board navigation system of an unmanned aerial vehicle on the grounds of radar images of the terrain

2020 ◽  
pp. 129-134
Keyword(s):  
Predictive Model ◽  
Unmanned Aerial Vehicle ◽  
Predictive Models ◽  
Navigation System ◽  
Error Compensation ◽  
Compensation Scheme ◽  
Radar Images ◽  
Aerial Vehicle ◽  
System Errors ◽  
Correction System

The system of route correction of an unmanned aerial vehicle (UAV) is considered. For the route correction the on-board radar complex is used. In conditions of active interference, it is impossible to use radar images for the route correction so it is proposed to use the on-board navigation system with algorithmic correction. An error compensation scheme of the navigation system in the output signal using the algorithm for constructing a predictive model of the system errors is applied. The predictive model is building using the genetic algorithm and the method of group accounting of arguments. The quality comparison of the algorithms for constructing predictive models is carried out using mathematical modeling.

Application of INS/Optical Flow/Magnetometer/Barometer Integrated Navigation System in Unmanned Aerial Vehicle

2017 ◽  
Vol 54 (2) ◽  
pp. 022801
Author(s):  
李涛 Li Tao ◽  
梁建琦 Liang Jianqi ◽  
闫浩 Yan Hao ◽  
朱志飞 Zhu Zhifei ◽  
唐军 Tang Jun
Keyword(s):  
Optical Flow ◽  
Unmanned Aerial Vehicle ◽  
Navigation System ◽  
Integrated Navigation ◽  
Integrated Navigation System ◽  
Aerial Vehicle
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