A comprehensive survey on 5G-and-beyond networks with UAVs: Applications, emerging technologies, regulatory aspects, research trends and challenges

MK Banafaa, Ö Pepeoğlu, I Shayea… - IEEE …, 2024 - ieeexplore.ieee.org
The rapid advancement of fifth-generation (5G)-and-beyond networks coupled with
unmanned aerial vehicles (UAVs) has opened up exciting possibilities for diverse …

[HTML][HTML] Review on type of sensors and detection method of anti-collision system of unmanned aerial vehicle

NK Chandran, MTH Sultan, A Łukaszewicz, FS Shahar… - Sensors, 2023 - mdpi.com
Unmanned aerial vehicle (UAV) usage is increasing drastically worldwide as UAVs are used
in various industries for many applications, such as inspection, logistics, agriculture, and …

Unmanned aerial vehicles for air pollution monitoring: A survey

NH Motlagh, P Kortoçi, X Su, L Lovén… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) equipped with air quality sensors offer a powerful solution
for increasing the spatial and temporal resolution of air quality data, searching and detecting …

Joint optimization of loading, mission abort and rescue site selection policies for UAV

X Zhao, X Wang, Y Dai, Q Qiu - Reliability Engineering & System Safety, 2024 - Elsevier
Abstract Unmanned Aerial Vehicles (UAVs) have increasingly played a significant role in
transportation activities, while the security challenges posed by UAVs are becoming more …

Triboelectricity Based Self‐Powered Digital Displacement Sensor for Aircraft Flight Actuation

Z Zhou, Z Xu, LNY Cao, H Sheng, C Li… - Advanced Functional …, 2024 - Wiley Online Library
The utilization of unmanned aerial vehicles (UAVs) is on the rise across various industries.
In such a scenario, the issue of flight safety for these UAVs becomes increasingly …

Simulation-based test case generation for unmanned aerial vehicles in the neighborhood of real flights

S Khatiri, S Panichella, P Tonella - 2023 IEEE Conference on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs), also known as drones, are acquiring increasing
autonomy. With their commercial adoption, the problem of testing their functional and non …

Automated identification and qualitative characterization of safety concerns reported in uav software platforms

A Di Sorbo, F Zampetti, A Visaggio, M Di Penta… - ACM Transactions on …, 2023 - dl.acm.org
Unmanned Aerial Vehicles (UAVs) are nowadays used in a variety of applications. Given the
cyber-physical nature of UAVs, software defects in these systems can cause issues with …

[HTML][HTML] Vibration data-driven anomaly detection in UAVs: A deep learning approach

EC Ozkat - Engineering Science and Technology, an International …, 2024 - Elsevier
Abstract Unmanned Aerial Vehicles (UAVs) are employed for diverse applications, including
aerial surveillance and package delivery. However, the occurrence of faults, especially …

Multi-UAV path planning and following based on multi-agent reinforcement learning

X Zhao, R Yang, L Zhong, Z Hou - Drones, 2024 - mdpi.com
Dedicated to meeting the growing demand for multi-agent collaboration in complex
scenarios, this paper introduces a parameter-sharing off-policy multi-agent path planning …

Transformer-based sensor failure prediction and classification framework for UAVs

MW Ahmad, MU Akram, MM Mohsan, K Saghar… - Expert Systems with …, 2024 - Elsevier
Unmanned aerial vehicles (UAVs) heavily rely on sensors to perceive their environment,
ensuring safe flight operations. However, sensor failures can occur unexpectedly …