Variable Configuration Stereo for Aerial Survey Using Two Unmanned Aerial Vehicles

Author(s):  
Borwonpob Sumetheeprasit ◽  
Robert Oliver Ladig ◽  
Kazuhiro Shimonomura
2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Ticiana Fettermann ◽  
Lorenzo Fiori ◽  
Martin Bader ◽  
Ashray Doshi ◽  
Dan Breen ◽  
...  

Abstract Unmanned aerial vehicles (UAVs) represent a novel and cost effective research tool to investigate cetacean behaviour, as conventional aircraft are expensive, limited in the altitude they can fly at and potentially disturb sensitive wildlife. In addition, the aerial observation from the UAVs allows assessment of cetacean behaviour from an advantageous perspective and can collect high spatial and temporal resolution data, providing the opportunity to gather accurate data about group size, age class and subsurface behaviour. However, concerns have been raised about the potential risks of disturbance to animals caused by the UAV’s visual and acoustic stimuli. Boat-based surveys were conducted to assess the short-term behavioural responses of resting bottlenose dolphins (Tursiops truncatus) to a lightweight Vertical take-off and landing (VTOL) UAV flown at 10, 25, and 40 m altitude. Changes in group swim direction and frequencies of surface and aerial behavioural events were recorded from an anchored research vessel before (control) and during the aerial survey. The number of reorientation and tail slap events increased significantly between controls and flights when the UAV was flown at 10 m over the animals. In contrast, no significant differences were detected when the aircraft was flown at 25 and 40 m altitude. However, a precautionary approach is recommended for research applications requiring lower flight altitudes, with further research recommended to assess how different cetacean species and age class may respond to the UAV presence.


2019 ◽  
Vol 8 ◽  
pp. 279-285
Author(s):  
Stanislav Arbuzov ◽  
Evgenij Gritskevich ◽  
Darja Michaylova ◽  
Anna Selezneva

Monitoring of the environment with the help of unmanned aerial vehicles is currently one of the most developing branches of optoelectronic instrument-making. Digital cameras installed on these devices make it possible to survey the underlying surface in order to select the its features. The use of unmanned aerial vehicles for the control of agricultural lands is a very perspective case of such monitoring. The technique of measuring the spectral reflection coefficients of surfaces is developed for identification of the vegetation state observed in the field of view of multispectral digital camera. The method allows determining the spectral reflectance of the calibration surfaces using the reference ones and after that to find the parameters of working surfaces using the calibration ones. The obtained results are applied under the analysis and processing of images obtained in the course of the unmanned aviation system that monitors agricultural lands.


2017 ◽  
Vol 75 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Andrew P Colefax ◽  
Paul A Butcher ◽  
Brendan P Kelaher

Abstract Unmanned aerial vehicles (UAVs) are increasingly used in marine wildlife research. As technological developments rapidly advance the versatility and functionality of affordable UAVs, their potential as a marine aerial survey tool is quickly gaining attention. Currently, there is significant interest in whether cost-effective UAVs can outperform manned aircraft in aerial surveys of marine fauna at sea, although few empirical studies have compared relative sampling efficiency, accuracy and precision. Civil aviation restrictions, and subsequent available civilian technologies, make it unlikely that UAVs will currently be more effective than manned aircraft for large area marine surveys. UAVs do, however, have the capacity to fill a niche for intensive smaller spatial scale sampling and for undertaking aerial surveys in isolated locations. Improvements in UAV sensor resolutions and alternative sensor types, such as multispectral cameras, may increase area coverage, reduce perception error, and increase water penetration for sightability. Additionally, the further development of auto-detection software will rapidly improve image processing and further reduce human observer error inherent in manned aerial surveys. As UAV technologies and associated methodology is further developed and becomes more affordable, these aircraft will be increasingly adopted as a marine aerial survey tool in place of traditional methods using manned aircraft.


2018 ◽  
Vol 22 (8) ◽  
pp. 44-49 ◽  
Author(s):  
N.N. Sliusar ◽  
G.M. Batrakova

The possibilities of using unmanned aerial vehicles for visual inspection of waste disposal facilities, including closed objects, are considered. Examples of the results of processing aerial photographs for assessing the achievement of design elevation marks of disposal sites, the state of the reclaimed surface of objects, and the identification of negative impacts on adjacent territories are presented. The experience of applying aerial survey results to assess the state of waste disposal facilities during the aftercare period, to obtain objective and evident information about changes in the components of the environment in the adjacent territories.


Author(s):  
A.A. Moykin ◽  
◽  
A.S. Medzhibovsky ◽  
S.A. Kriushin ◽  
M.V. Seleznev ◽  
...  

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.


2020 ◽  
Vol 79 (11) ◽  
pp. 985-995
Author(s):  
Valerii V. Semenets ◽  
V. M. Kartashov ◽  
V. I. Leonidov

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