Mobile edge computing and machine learning in the internet of unmanned aerial vehicles: a survey

Z Ning, H Hu, X Wang, L Guo, S Guo, G Wang… - ACM Computing …, 2023 - dl.acm.org
Unmanned Aerial Vehicles (UAVs) play an important role in the Internet of Things and form
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …

Formation control of unmanned aerial vehicle swarms: A comprehensive review

Q Ouyang, Z Wu, Y Cong, Z Wang - Asian Journal of Control, 2023 - Wiley Online Library
The unmanned aerial vehicle formation plays a crucial role in numerous applications, such
as reconnaissance, agricultural plant protection, and electric power inspection. This paper …

A systematic literature review of blockchain technology for internet of drones security

Y Harbi, K Medani, C Gherbi, O Senouci… - Arabian Journal for …, 2023 - Springer
Abstract Internet of Drones (IoD) plays a crucial role in the future Internet of Things due to its
important features such as low cost, high flexibility, and mobility. The number of IoD …

5G MEC-based intelligent computation offloading in power robotic inspection

W Wang, R Qu, H Liao, Z Wang, Z Zhou… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Power robotic inspection plays a critical role in the realization of real-time visualization and
perception of substation in power grid. 5G mobile edge computing (MEC) has emerged as a …

UAV trajectory planning for complex open storage environments based on an improved RRT algorithm

J Zhang, Y An, J Cao, S Ouyang, L Wang - IEEE Access, 2023 - ieeexplore.ieee.org
Multi-rotor UAVs (Unmanned Aerial Vehicles) have been increasingly used for hazardous
inspection tasks in complex open-air warehouse storage environments due to their high …

A robust visible and infrared image matching algorithm for power equipment based on phase congruency and scale-invariant feature

Z Wang, X Feng, G Xu, Y Wu - Optics and Lasers in Engineering, 2023 - Elsevier
Dense and accurate matching for visible and infrared images of power equipment is crucial
to intelligent diagnosis system of power grid, but existing matching methods usually fail in …

Tower masking mim: A self-supervised pretraining method for power line inspection

X Liu, X Miao, H Jiang, J Chen, M Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
For intelligent inspection of power lines, a core task is to detect components in aerial
images. Currently, deep supervised learning, a data-hungry paradigm, has attracted great …

Method for real-time reconstruction of a transmission line based on the LiDAR point cloud data of a partial line segment

Y Liu, X Zhao, Y Jiao, X Yang, H Xu - Sustainable Energy Technologies …, 2023 - Elsevier
In a light detection and ranging (LiDAR) anti-external force damage monitoring system, the
LiDAR installed on an electric power tower can only collect some point cloud data from the …

URANUS: Radio Frequency Tracking, Classification and Identification of Unmanned Aircraft Vehicles

D Lofù, P Di Gennaro, P Tedeschi… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Safety and security issues for Critical Infrastructures are growing as attackers adopt drones
as an attack vector flying in sensitive airspaces, such as airports, military bases, city centers …

Edge computing enabled energy-efficient multi-UAV cooperative target search

Q Luo, TH Luan, W Shi, P Fan - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multiple unmanned aerial vehicles (UAVs) cooperative search have been widely adopted for
surveillance and search-related applications. For a certain search area, UAVs may need to …