Efficient and Robust Online Trajectory Prediction for Non-Cooperative Unmanned Aerial Vehicles

2021 ◽  
pp. 1-11
Author(s):  
Guangrui Xie ◽  
Xi Chen
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Trajectory Prediction ◽  
Aerial Vehicles

Accuracy evaluation of a new generic Trajectory Prediction model for Unmanned Aerial Vehicles

2021 ◽  
Vol 119 ◽  
pp. 107160
Author(s):  
Mingyang Huang ◽  
Washington Yotto Ochieng ◽  
Jose Javier Escribano Macias ◽  
Yi Ding
Keyword(s):  
Prediction Model ◽  
Unmanned Aerial Vehicles ◽  
Accuracy Evaluation ◽  
Trajectory Prediction ◽  
Aerial Vehicles

Development of thickened semi-synthetic engine oil M-5z / 20 AERO for four-stroke gasoline engines aircraft piston of unmanned aerial vehicles (UAVs)

2020 ◽  
Vol 06 ◽  
pp. 44-47
Author(s):  
A.A. Moykin ◽  
◽  
A.S. Medzhibovsky ◽  
S.A. Kriushin ◽  
M.V. Seleznev ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Engine Oil ◽  
Motor Oil ◽  
Gasoline Engines ◽  
State Research Institute ◽  
Technical Requirements ◽  
Aerial Vehicles ◽  
State Research ◽  
Industrial Batch ◽  
The Russian Federation

Nowadays, the creation of remotely-piloted aerial vehicles for various purposes is regarded as one of the most relevant and promising trends of aircraft development. FAU "25 State Research Institute of Chemmotology of the Ministry of Defense of the Russian Federation" have studied the operation features of aircraft piston engines and developed technical requirements for motor oil for piston four-stroke UAV engines, as well as a new engine oil M-5z/20 AERO in cooperation with NPP KVALITET, LLC. Based on the complex of qualification tests, the stated operational properties of the experimental-industrial batch of M-5z/20 AERO oil are generally confirmed.

FEATURES OF ACOUSTIC NOISE OF SMALL UNMANNED AERIAL VEHICLES

2020 ◽  
Vol 79 (11) ◽  
pp. 985-995
Author(s):  
Valerii V. Semenets ◽  
V. M. Kartashov ◽  
V. I. Leonidov
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Acoustic Noise ◽  
Aerial Vehicles

PECULIARITIES OF SMALL UNMANNED AERIAL VEHICLES DETECTION AND RECOGNITION

2019 ◽  
Vol 78 (9) ◽  
pp. 771-781 ◽  
Author(s):  
V. M. Kartashov ◽  
V. N. Oleynikov ◽  
S. A. Sheyko ◽  
S. I. Babkin ◽  
I. V. Korytsev ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Aerial Vehicles ◽  
Detection And Recognition

Unmanned Aerial Vehicles and Their Use for Aircraft Inspection

2020 ◽  
Author(s):  
Martin Bugaj ◽  
Andrej Novak ◽  
Anna Stelmach ◽  
Tomasz Lusiak
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Aerial Vehicles
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