A Comprehensive Survey of Unmanned Aerial Vehicles Detection and Classification Using Machine Learning Approach: Challenges, Solutions, and Future Directions

MH Rahman, MAS Sejan, MA Aziz, R Tabassum… - Remote Sensing, 2024 - mdpi.com
Autonomous unmanned aerial vehicles (UAVs) have several advantages in various fields,
including disaster relief, aerial photography and videography, mapping and surveying …

DRONET: Multi-tasking framework for real-time industrial facility aerial surveillance and safety

SO Ajakwe, VU Ihekoronye, DS Kim, JM Lee - Drones, 2022 - mdpi.com
The security of key and critical infrastructures is crucial for uninterrupted industrial process
flow needed in strategic management as these facilities are major targets of invaders. The …

Air combat maneuver decision method based on A3C deep reinforcement learning

Z Fan, Y Xu, Y Kang, D Luo - Machines, 2022 - mdpi.com
To solve the maneuvering decision problem in air combat of unmanned combat aircraft
vehicles (UCAVs), in this paper, an autonomous maneuver decision method is proposed for …

Modeling relation among implementing AI-based drones and sustainable construction project success

A Waqar, I Othman, N Hamah Sor… - Frontiers in Built …, 2023 - frontiersin.org
Project failure is a persistent challenge in the construction industry, rendering it one of the
most demanding sectors. Many obstacles, including safety concerns, quality management …

Countering a drone in a 3d space: Analyzing deep reinforcement learning methods

E Çetin, C Barrado, E Pastor - Sensors, 2022 - mdpi.com
Unmanned aerial vehicles (UAV), also known as drones have been used for a variety of
reasons and the commercial drone market growth is expected to reach remarkable levels in …

Comprehensive Investigation of Unmanned Aerial Vehicles (UAVs): An In-Depth Analysis of Avionics Systems

K Osmani, D Schulz - Sensors, 2024 - mdpi.com
The evolving technologies regarding Unmanned Aerial Vehicles (UAVs) have led to their
extended applicability in diverse domains, including surveillance, commerce, military, and …

Improving real-time drone detection for counter-drone systems

E Cetin, C Barrado, E Pastor - The Aeronautical Journal, 2021 - cambridge.org
The number of unmanned aerial vehicles (UAVs, also known as drones) has increased
dramatically in the airspace worldwide for tasks such as surveillance, reconnaissance …

Development Of A Vision-based Anti-drone Identification Friend Or Foe Model To Recognize Birds And Drones Using Deep Learning

Y Ghazlane, M Gmira, H Medromi - Applied Artificial Intelligence, 2024 - Taylor & Francis
Recently, the growing use of drones has paved the way for limitless applications in all the
domains. However, their malicious exploitations have affected the airspace safety, making …

Parallel reinforcement learning simulation for visual quadrotor navigation

J Saunders, S Saeedi, W Lil - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Reinforcement learning (RL) is an agent-based approach for teaching robots to navigate
within the physical world. Gathering data for RL is known to be a laborious task, and real …

A Comprehensive analysis of society's perspective on urban air mobility

E Çınar, A Tuncal - Journal of Aviation, 2023 - dergipark.org.tr
Urban Air Mobility (UAM) is an innovative concept that offers a distinct solution for dense
urban transportation through the use of electric vertical take-off and landing (eVTOL) aircraft …