scholarly journals Innovative Solutions for Searching, Rescuing, and Rendering Assistance to Cosmonauts on the Forced Landing Place of the Descent Module Under Extreme Conditions of the Northern Climatic Zone

2019 ◽  
pp. 76-95
Author(s):  
Aleksey Vasilievich Polyakov ◽  
Vitaly Mikhailovich Usov ◽  
Boris Ivanovich Kryuchkov ◽  
Yu.P. Chernyshev ◽  
A.I. Motienko
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Climatic Conditions ◽  
Search And Rescue ◽  
Extreme Conditions ◽  
Emergency Medical Care ◽  
Descent Module ◽  
Climatic Zones ◽  
Aerial Vehicles ◽  
Forced Landing ◽  
Innovative Solutions

The paper considers new approaches to the use of unmanned aerial vehicles (UAVs) and associated technologies of emergency warning under extreme conditions of the northern climatic zones for expanding the search and rescue capabilities in case of the forced landing of the descent module (DM). The paper also analyzes the innovative solutions on the human protection against adverse environmental effects and the means for emergency medical care that are delivered to the landing place of the descent module and allow mitigating risks for surviving under unfavorable climatic conditions prior the evacuation operations begin.

scholarly journals Design and Fabrication of Voice Controlled Unmanned Aerial Vehicle

2016 ◽  
Vol 5 (3) ◽  
pp. 205
Author(s):  
S. Sakthi Anand ◽  
R. Mathiyazaghan
Keyword(s):  
Control System ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Voice Recognition ◽  
Search And Rescue ◽  
Voice Input ◽  
Recognition Process ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
The Voice

<p class="Default">Unmanned Aerial Vehicles have gained well known attention in recent years for a numerous applications such as military, civilian surveillance operations as well as search and rescue missions. The UAVs are not controlled by professional pilots and users have less aviation experience. Therefore it seems to be purposeful to simplify the process of aircraft controlling. The objective is to design, fabricate and implement an unmanned aerial vehicle which is controlled by means of voice recognition. In the proposed system, voice commands are given to the quadcopter to control it autonomously. This system is navigated by the voice input. The control system responds to the voice input by voice recognition process and corresponding algorithms make the motors to run at specified speeds which controls the direction of the quadcopter.</p>

scholarly journals Honeycomb Map: A Bioinspired Topological Map for Indoor Search and Rescue Unmanned Aerial Vehicles

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 907 ◽  
Author(s):  
Ricardo da Rosa ◽  
Marco Aurelio Wehrmeister ◽  
Thadeu Brito ◽  
José Luís Lima ◽  
Ana Isabel Pinheiro Nunes Pereira
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Prior Knowledge ◽  
Energy Use ◽  
Search And Rescue ◽  
Data Types ◽  
Topological Map ◽  
Exploration Time ◽  
Aerial Vehicles ◽  
Multiple Unmanned Aerial Vehicles ◽  
Time And Energy

The use of robots to map disaster-stricken environments can prevent rescuers from being harmed when exploring an unknown space. In addition, mapping a multi-robot environment can help these teams plan their actions with prior knowledge. The present work proposes the use of multiple unmanned aerial vehicles (UAVs) in the construction of a topological map inspired by the way that bees build their hives. A UAV can map a honeycomb only if it is adjacent to a known one. Different metrics to choose the honeycomb to be explored were applied. At the same time, as UAVs scan honeycomb adjacencies, RGB-D and thermal sensors capture other data types, and then generate a 3D view of the space and images of spaces where there may be fire spots, respectively. Simulations in different environments showed that the choice of metric and variation in the number of UAVs influence the number of performed displacements in the environment, consequently affecting exploration time and energy use.

scholarly journals Autonomous Unmanned Aerial Vehicles in Search and Rescue Missions Using Real-Time Cooperative Model Predictive Control

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4067 ◽  
Author(s):  
Fabio A. A. Andrade ◽  
Anthony Hovenburg ◽  
Luciano Netto de de Lima ◽  
Christopher Dahlin Rodin ◽  
Tor Arne Johansen ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Unmanned Aerial Vehicles ◽  
Real Time ◽  
Predictive Control ◽  
Kinematic Model ◽  
Search And Rescue ◽  
International Standards ◽  
Area Of Interest ◽  
Aerial Vehicles ◽  
Human Operators

Unmanned Aerial Vehicles (UAVs) have recently been used in a wide variety of applications due to their versatility, reduced cost, rapid deployment, among other advantages. Search and Rescue (SAR) is one of the most prominent areas for the employment of UAVs in place of a manned mission, especially because of its limitations on the costs, human resources, and mental and perception of the human operators. In this work, a real-time path-planning solution using multiple cooperative UAVs for SAR missions is proposed. The technique of Particle Swarm Optimization is used to solve a Model Predictive Control (MPC) problem that aims to perform search in a given area of interest, following the directive of international standards of SAR. A coordinated turn kinematic model for level flight in the presence of wind is included in the MPC. The solution is fully implemented to be embedded in the UAV on-board computer with DUNE, an on-board navigation software. The performance is evaluated using Ardupilot’s Software-In-The-Loop with JSBSim flight dynamics model simulations. Results show that, when employing three UAVs, the group reaches 50% Probability of Success 2.35 times faster than when a single UAV is employed.

scholarly journals Secure UAV-Based System to Detect Small Boats Using Neural Networks

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Moisés Lodeiro-Santiago ◽  
Pino Caballero-Gil ◽  
Ricardo Aguasca-Colomo ◽  
Cándido Caballero-Gil
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Image Processing ◽  
Deep Learning ◽  
Unmanned Aerial Vehicles ◽  
High Sensitivity ◽  
Search And Rescue ◽  
Detection Systems ◽  
Aerial Vehicles ◽  
Current Detection

This work presents a system to detect small boats (pateras) to help tackle the problem of this type of perilous immigration. The proposal makes extensive use of emerging technologies like Unmanned Aerial Vehicles (UAV) combined with a top-performing algorithm from the field of artificial intelligence known as Deep Learning through Convolutional Neural Networks. The use of this algorithm improves current detection systems based on image processing through the application of filters thanks to the fact that the network learns to distinguish the aforementioned objects through patterns without depending on where they are located. The main result of the proposal has been a classifier that works in real time, allowing the detection of pateras and people (who may need to be rescued), kilometres away from the coast. This could be very useful for Search and Rescue teams in order to plan a rescue before an emergency occurs. Given the high sensitivity of the managed information, the proposed system includes cryptographic protocols to protect the security of communications.

Using Unmanned Aerial Vehicles to Solve Some Civil Problems

2019 ◽  
pp. 52-127
Author(s):  
Aleksander Sładkowski ◽  
Wojciech Kamiński
Keyword(s):  
Unmanned Aerial Vehicles ◽  
First Aid ◽  
Financial Resources ◽  
Energy Requirements ◽  
Extreme Conditions ◽  
Extensive Literature ◽  
Literature Analysis ◽  
Railway Transport ◽  
Aerial Vehicles ◽  
Military Applications

The widespread use of unmanned aerial vehicles (UAVs) is currently a recognized trend. UAVs find their application in various sectors of the economy. In the chapter, based on extensive literature analysis, the possibilities of using UAVs for non-military applications are considered. The design features of various UAVs, their control features, energy requirements, and safety-related problems are considered. Particular attention is paid to public opinion related to the use of UAVs. The possibilities of using UAVs in power engineering, agriculture, for controlling traffic, for goods transporting, for controlling the means of railway transport, for first aid to people under various extreme conditions, as well as for some other applications are being explored. The UAV parameters are analyzed, which must be provided for their use in each specific case, while ensuring the minimization of the necessary financial resources.

A real-time field experiment on search and rescue operations assisted by unmanned aerial vehicles

2018 ◽  
Vol 35 (6) ◽  
pp. 906-920 ◽  
Author(s):  
Tomasz Niedzielski ◽  
Mirosława Jurecka ◽  
Bartłomiej Miziński ◽  
Joanna Remisz ◽  
Jacek Ślopek ◽  
...  
Keyword(s):  
Field Experiment ◽  
Unmanned Aerial Vehicles ◽  
Real Time ◽  
Search And Rescue ◽  
Aerial Vehicles

Development of Hard-to-Reach Regions of the North, Siberia and “Disruptive” Technologies of Unmanned Aviation

2020 ◽  
Vol 152 ◽  
pp. 72-81
Author(s):  
Aleksandr I. Ageev ◽  
◽  
Vadim A. Oleinikov ◽  
Vladimir B. Sychev ◽  
◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Cost Effective ◽  
Air Transportation ◽  
Air Cargo ◽  
Disruptive Technologies ◽  
The North ◽  
Aerial Vehicles ◽  
Innovative Solutions ◽  
The World ◽  
Promising Area

The air cargo market is developing rapidly both in Russia and around the world. The use of unmanned aerial vehicles with vertical take-off and landing without an aerodrome base is becoming a promising area for air transportation of goods in remote regions. Companies around the world are intensively developing various types of unmanned aerial vehicles that are potentially capable to carry out cargo transportation. There are objective and subjective issues of their use that have to be solved at present. Russian developers offer promising innovative solutions that can have export potential, expand the range and areas of their application, and may be attractive for investment. Transportation of goods with the help of UAVs is expected to be cost-effective, which should result in business development, should increase jobs, strengthen the economy and infrastructure of hard-to-reach regions.

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