Control strategies and novel techniques for autonomous rotorcraft unmanned aerial vehicles: A review

SI Abdelmaksoud, M Mailah, AM Abdallah - IEEE Access, 2020 - ieeexplore.ieee.org
This paper presents a review of the various control strategies that have been conducted to
address and resolve several challenges for a particular category of unmanned aerial …

Survey of promising technologies for quantum drones and networks

A Kumar, S Bhatia, K Kaushik, SM Gandhi… - Ieee …, 2021 - ieeexplore.ieee.org
Due to recent advancements in quantum drones, the Internet of Quantum Drones (IoQDs),
and Drone-to-Satellite connectivity, several advantages have been anticipated for real-time …

Advancements in Machine Learning and AI for Intelligent Systems in Drone Applications for Smart City Developments

S Boopathi - Futuristic e-Governance Security With Deep Learning …, 2024 - igi-global.com
The chapter explores the integration of drones, machine learning, and artificial intelligence
(AI) in smart city development. Drones can revolutionize urban planning, energy efficiency …

DOA tracking for seamless connectivity in beamformed IoT-based drones

NM Balamurugan, S Mohan, M Adimoolam… - Computer Standards & …, 2022 - Elsevier
In recent times, there has been a surge of interest around the usage of adaptive antenna
arrays of Internet of Things (IoT) based Drones in the communication systems. Adaptive …

Unmanned aerial vehicle assisted communication: applications, challenges, and future outlook

Y Li, Y Bi, J Wang, Z Li, H Zhang, P Zhang - Cluster Computing, 2024 - Springer
With the advancement of wireless communication technology, the number of wireless
network terminals has exploded, and various new business scenarios have emerged. The …

Machine learning techniques in internet of UAVs for smart cities applications

FA Alqurashi, F Alsolami… - Journal of Intelligent …, 2022 - content.iospress.com
Recently, there were much interest in technology which has emerged greatly to the
development of smart unmanned systems. Internet of UAV (IoUAV) enables an unmanned …

A novel collision avoidance strategy with D2D communications for UAV systems

L Shan, HB Li, R Miura, T Matsuda, T Matsumura - Drones, 2023 - mdpi.com
In recent years, safety operation issues related to the autonomous flight of unmanned aerial
vehicles (UAVs) have become popular research and development topics worldwide. Among …

Experimental UAV data traffic modeling and network performance analysis

A Baltaci, M Klügel, F Geyer… - … -IEEE Conference on …, 2021 - ieeexplore.ieee.org
Network support for Unmanned Aerial Vehicles (UAVs) is raising an interest among
researchers due to the strong potential applications. However, current knowledge on UAV …

Vehicle-to-vehicle based autonomous flight coordination control system for safer operation of unmanned aerial vehicles

L Shan, R Miura, T Matsuda, M Koshikawa, HB Li… - Drones, 2023 - mdpi.com
The exponential growth of unmanned aerial vehicles (UAVs) or drones in recent years has
raised concerns about their safe operation, especially in beyond-line-of-sight (BLOS) …

Path Loss Characterization Using Machine Learning Models for GS‐to‐UAV‐Enabled Communication in Smart Farming Scenarios

S Duangsuwan, P Juengkittikul… - International Journal of …, 2021 - Wiley Online Library
The purpose of this paper was to predict the path loss characterization of the ground‐to‐air
(G2A) communication channel between the ground sensor (GS) and unmanned aerial …