Improving vision-based planar motion estimation for unmanned aerial vehicles through online mosaicing

2006 ◽  
Author(s):  
F. Caballero ◽  
L. Merino ◽  
J. Ferruz ◽  
A. Ollero
Keyword(s):  
Motion Estimation ◽  
Unmanned Aerial Vehicles ◽  
Planar Motion ◽  
Aerial Vehicles

Robust L∞ convex optimisation for UAVs cooperative motion estimation

2016 ◽  
Vol 231 (11) ◽  
pp. 2006-2031
Author(s):  
Mohammed Boulekchour ◽  
Nabil Aouf ◽  
Mark Richardson
Keyword(s):  
Motion Estimation ◽  
Unmanned Aerial Vehicles ◽  
Visual Motion ◽  
Monocular Vision ◽  
Computational Time ◽  
Vision Systems ◽  
Loop Closure ◽  
Cooperative Motion ◽  
Aerial Vehicles ◽  
Convex Optimisation

In this paper, a system for real-time cooperative monocular visual motion estimation with multiple unmanned aerial vehicles is proposed. Distributing the system across a network of vehicles allows for efficient processing in terms of both computational time and estimation accuracy. The resulting global cooperative motion estimation employs state-of-the-art approaches for optimisation, individual motion estimation and registration. Three-view geometry algorithms are developed within a convex optimisation framework on-board the monocular vision systems of each vehicle. In the presented novel distributed cooperative strategy a visual loop-closure module is deployed to detect any simultaneously overlapping fields of view of two or more of the vehicles. A positive feedback from the latter module triggers the collaborative motion estimation algorithm between any vehicles involved in this loop-closure. This scenario creates a flexible stereo set-up which jointly optimises the motion estimates of all vehicles in the cooperative scheme. Prior to that, vehicle-to-vehicle relative pose estimates are recovered with a novel robust registration solution in a global optimisation framework. Furthermore, as a complementary solution, a robust non-linear H∞filter is designed to fuse measurements from the vehicles’ on-board inertial sensors with the visual estimates. The proposed cooperative navigation solution has been validated on real-world data, using two unmanned aerial vehicles equipped with monocular vision systems.

scholarly journals Unmanned aerial vehicles UAVs attitude, height, motion estimation and control using visual systems

2010 ◽  
Vol 29 (1) ◽  
pp. 17-34 ◽  
Author(s):  
Iván F. Mondragón ◽  
Miguel A. Olivares-Méndez ◽  
Pascual Campoy ◽  
Carol Martínez ◽  
Luís Mejias
Keyword(s):  
Motion Estimation ◽  
Unmanned Aerial Vehicles ◽  
Visual Systems ◽  
Aerial Vehicles ◽  
Estimation And Control ◽  
And Control

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
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