scholarly journals Multi Terrain Surveillance Drone

2020 ◽  
Vol 9 (4s) ◽  
pp. 8-11
Keyword(s):  
Artificial Intelligence ◽  
Unmanned Aerial Vehicles ◽  
Efficient Algorithm ◽  
Research Paper ◽  
Radio Waves ◽  
Aerial Vehicles ◽  
Major Motive

The purpose of this research paper is to design a drone which can move autonomously in a fixed predetermined route or by using radio waves through any environment. Various drones are available nowadays which differ in size, color and properties. Unmanned aerial vehicles have gained wide popularity over decades and are used extensively for several applications. The main feature of this drone is that it does not require any additional infrastructure to quickly register and monitor the object. The major motive is to get accuracy in rescue missions for accidents occurring at higher terrain as well as underwater. The main uniqueness is that it can move through air and water. An efficient algorithm is incorporated to reduce the complexity. The drone’s database is developed using artificial intelligence which helps in faster recognition of the object.

scholarly journals Evolving Rule-Based Explainable Artificial Intelligence for Unmanned Aerial Vehicles

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 17001-17016 ◽  
Author(s):  
Blen M. Keneni ◽  
Devinder Kaur ◽  
Ali Al Bataineh ◽  
Vijaya K. Devabhaktuni ◽  
Ahmad Y. Javaid ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Unmanned Aerial Vehicles ◽  
Rule Based ◽  
Aerial Vehicles ◽  
Explainable Artificial Intelligence

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.

scholarly journals Special Issue on Unmanned Aerial Vehicles (UAVs)

2020 ◽  
Vol 10 (22) ◽  
pp. 8078
Author(s):  
Sunghun Jung
Keyword(s):  
Applied Sciences ◽  
Artificial Intelligence ◽  
Path Planning ◽  
Unmanned Aerial Vehicles ◽  
Collision Avoidance ◽  
Acceptance Rate ◽  
Special Issue ◽  
Aerial Vehicles ◽  
Machine Interface ◽  
Communication Control

This editorial paper was a special issue of Applied Sciences belonging to the section of mechanical engineering in MDPI journal and summarized the collected manuscripts regarding the unmanned aerial vehicles (UAVs) related technologies, including communication, control, collision avoidance, modeling, path planning, human-machine interface (HMI), artificial intelligence (AI), etc. Chronologically, this special issue was started to be coordinated at the end of Oct 2018, prepared for a month and opened to collect manuscripts from the middle of Nov 2018 until the end of Dec 2019. During almost a year, 26 papers were published online out of 50 submitted papers which results in 52% acceptance rate.

scholarly journals Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation

Sensors ◽  
2016 ◽  
Vol 16 (1) ◽  
pp. 97 ◽  
Author(s):  
Luis Gonzalez ◽  
Glen Montes ◽  
Eduard Puig ◽  
Sandra Johnson ◽  
Kerrie Mengersen ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Unmanned Aerial Vehicles ◽  
Wildlife Monitoring ◽  
Aerial Vehicles

Artificial Intelligence Methods in Aviation Specialist Training for the Analysis and Transmission of Operational Meteorological Information

2020 ◽  
pp. 306-322
Author(s):  
Sergiy I. Rudas ◽  
Evgeniya A. Znakovska ◽  
Dmitriy I. Bondarev
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Unmanned Aerial Vehicles ◽  
Information Technologies ◽  
Meteorological Data ◽  
Specialist Training ◽  
Air Traffic Controllers ◽  
Aerial Vehicles ◽  
Artificial Intelligence Methods ◽  
Learning Machine

The authors present methods for the application of artificial intelligence for operational meteorological information (OPEC). The means of communication for distribution of meteorological data using information technologies are presented. Practical courses for aviation specialists (pilots, air traffic controllers, operators of unmanned aerial vehicles) are considered in which artificial intelligence methods are used: datamining, deep learning, machine learning, using information technologies.

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