Comparison of Localization Algorithms for Unmanned Aerial Vehicles

2020 ◽  
pp. 258-269
Author(s):  
Imran Qasim ◽  
Nauman Habib ◽  
Uzair Habib ◽  
Qazi Fakhar Usman ◽  
Mohsin Kamal
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Aerial Vehicles ◽  
Localization Algorithms

Multi-unmanned aerial vehicle multi acoustic source localization

2020 ◽  
pp. 095441002094308
Author(s):  
Suresh Manickam ◽  
Sufal Chandra Swar ◽  
David W Casbeer ◽  
Satyanarayana Gupta Manyam
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Optimal Number ◽  
Localization Algorithm ◽  
Acoustic Source ◽  
Coordination Strategy ◽  
Aerial Vehicles ◽  
Localization Algorithms ◽  
Acoustic Source Localization ◽  
Aerial Vehicle ◽  
Np Hardness

This paper addresses a multisource localization problem with multiple unmanned aerial vehicles equipped with appropriate sensors coordinating with each other, wherein the sources are simultaneously emitting identical acoustic signals. Distributed coordinated localization algorithms based on multiple range and direction measurements are presented and performances are evaluated in different practically significant mission scenarios. Non-deterministic polynomial (NP) hardness to determine optimal number of unmanned aerial vehicles for a given mission scenario is discussed. Group coordination, tactical path, and goal replan strategies to enable efficient localization of single and multiple acoustic sources have been designed. The localization algorithm along with coordination strategy is verified in the presence of realistic error conditions through simulation.

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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