Reliability database for unmanned aerial vehicles based on morphological analysis

2016 ◽  
Vol 120 (1230) ◽  
pp. 1262-1274
Author(s):  
P. Gonçalves ◽  
J. Sobral ◽  
L. Ferreira
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Morphological Analysis ◽  
Decision Making Process ◽  
Certification Process ◽  
Aerial Vehicles ◽  
Maintenance Program ◽  
Corrective Factor ◽  
Degree Of Confidence ◽  
High Degree ◽  
Certification Requirements

ABSTRACTThe certification process plays an important role in aircraft safety and operation, assuring a high degree of confidence in accomplishing their objectives. Unfortunately, in the field of Unmanned Aerial Vehicles (UAV), there is not enough information to enable an acceptable decision-making process regarding compliance with certification requirements. To overcome this limitation, a methodology was developed based on morphological analysis principle, taking advantage of the knowledge and behaviour of similar items and affecting them with the necessary corrective factor in accordance to the differences in design, operation and environment. The objective is to establish an initial maintenance program as an important requirement to operate any kind of aircraft. This paper presents the methodology and the obtained results for a UAV under development concerning the establishment of a maintenance program regarding its certification process.

scholarly journals Efficient Reactive Obstacle Avoidance Using Spirals for Escape

Drones ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 51
Author(s):  
Fábio Azevedo ◽  
Jaime S. Cardoso ◽  
André Ferreira ◽  
Tiago Fernandes ◽  
Miguel Moreira ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Mobile Robotics ◽  
Point Clouds ◽  
Depth Camera ◽  
Main Task ◽  
Robust Method ◽  
Aerial Vehicles ◽  
Correct Execution ◽  
Low Altitude ◽  
High Degree

The usage of unmanned aerial vehicles (UAV) has increased in recent years and new application scenarios have emerged. Some of them involve tasks that require a high degree of autonomy, leading to increasingly complex systems. In order for a robot to be autonomous, it requires appropriate perception sensors that interpret the environment and enable the correct execution of the main task of mobile robotics: navigation. In the case of UAVs, flying at low altitude greatly increases the probability of encountering obstacles, so they need a fast, simple, and robust method of collision avoidance. This work covers the problem of navigation in unknown scenarios by implementing a simple, yet robust, environment-reactive approach. The implementation is done with both CPU and GPU map representations to allow wider coverage of possible applications. This method searches for obstacles that cross a cylindrical safety volume, and selects an escape point from a spiral for avoiding the obstacle. The algorithm is able to successfully navigate in complex scenarios, using both a high and low-power computer, typically found aboard UAVs, relying only on a depth camera with a limited FOV and range. Depending on the configuration, the algorithm can process point clouds at nearly 40 Hz in Jetson Nano, while checking for threats at 10 kHz. Some preliminary tests were conducted with real-world scenarios, showing both the advantages and limitations of CPU and GPU-based methodologies.

scholarly journals EXPERIENCES IN CADASTRAL RESTITUTION AT A TOWN AFFECTED BY A NATURAL DISASTER. THE CASE OF VOLCAN, JUJUY PROVINCE, ARGENTINA

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 343-347
Author(s):  
M. Gutiérrez Viñuales ◽  
E. Puch Sleive ◽  
S. Chalabe
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Natural Disaster ◽  
Work Flow ◽  
Initial Assessment ◽  
Quality Information ◽  
Aerial Vehicles ◽  
Processing Software ◽  
Cadastral Surveying ◽  
High Degree ◽  
The Town

<p><strong>Abstract.</strong> The use of UAVs (Unmanned Aerial Vehicles) as a data acquisition tool for cadastral surveying has been used for several years. The processing software and an adequate workflow make this set a powerful tool to obtain quality information quickly in order to take decisions.</p><p>This work shows the experience of using this tool and the results achieved in an urban area included in the Quebrada de Humahuaca (included in the list of World Heritage of Humanity by UNESCO) that was affected by a landslide and flooding in January of 2017. A precise and fast action was required to begin the reconstruction works of the houses that had to be demolished due to their high degree of affectation. In addition, a general update of the Cadastral Records of the town was required, which were analyzed individually from the information collected for the preparation of the Cadastral Map, the analysis of the previous cadastral information and a set of surveys carried out in each property. It includes an initial assessment of the problem, the work flow adopted, the results achieved, and a discussion of the problems detected in each phase of the work.</p>

scholarly journals Generalized Net Model of Forest Zone Monitoring by UAVs

Mathematics ◽  
2021 ◽  
Vol 9 (22) ◽  
pp. 2874
Author(s):  
Krassimir T. Atanassov ◽  
Peter Vassilev ◽  
Vassia Atanassova ◽  
Olympia Roeva ◽  
Rosen Iliev ◽  
...  
Keyword(s):  
Decision Making ◽  
Unmanned Aerial Vehicles ◽  
Information Flow ◽  
Forest Fires ◽  
Rapid Detection ◽  
Sensory Information ◽  
Decision Making Process ◽  
Forest Zone ◽  
Aerial Vehicles ◽  
Generalized Net

The paper presents a generalized net (GN) model of the process of terrain observation with the help of unmanned aerial vehicles (UAVs) for the prevention and rapid detection of wildfires. Using a GN, the process of monitoring a zone (through a UAV, which is further called a reconnaissance drone) and the localization of forest fires is described. For a more indepth study of the terrain, the reconnaissance drone needs to coordinate with a second UAV, called a specialized drone, so that video and sensory information is provided to the supervising fire command operational center. The proposed GN model was developed to assist in the decision-making process related to the coordination of the operation of both UAVs under dynamically changing terrain circumstances, such as those related to preventing or quickly containing wildfires. It describes the stages (transitions), logical determinants (transition predicate matrices), and directions of information flow (token characteristics) within the process of localization of fires using the pair of reconnaissance and specialized drones.

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
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