UAV fault detection methods, state-of-the-art
R Puchalski, W Giernacki - Drones, 2022 - mdpi.com
The continual expansion of the range of applications for unmanned aerial vehicles (UAVs) is
resulting in the development of more and more sophisticated systems. The greater the …
resulting in the development of more and more sophisticated systems. The greater the …
Comprehensive systematic review of intelligent approaches in UAV-based intrusion detection, blockchain, and network security
Abstract Unmanned Aerial Vehicles (UAVs) have evolved into a pivotal component of
electronic devices deployed across a diverse array of sectors and industries in recent years …
electronic devices deployed across a diverse array of sectors and industries in recent years …
Multiclass classification fault diagnosis of multirotor UAVs utilizing a deep neural network
A fault diagnosis algorithm using a deep neural network for an octocopter Unmanned Aerial
Vehicle (UAV) is proposed. All eight rotors are considered in the multiclass classification …
Vehicle (UAV) is proposed. All eight rotors are considered in the multiclass classification …
ITS based on deep graph convolutional fraud detection network blockchain-enabled fog-cloud
A Lakhan, MA Mohammed, DA Ibrahim… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The advancement in transport applications increases at the everyday progress in
technologies. Therefore, intelligent transport systems (ITS) gain a lot of progress at the …
technologies. Therefore, intelligent transport systems (ITS) gain a lot of progress at the …
Survey of RPAS autonomous control systems using artificial intelligence
M Aibin, M Aldiab, R Bhavsar, J Lodhra, M Reyes… - IEEE …, 2021 - ieeexplore.ieee.org
In this survey, we look at the overall idea of Remotely Piloted Aircraft Systems (RPAS) and
autonomous control, as well as RPAS infrastructure, levels of autonomy, and current benefits …
autonomous control, as well as RPAS infrastructure, levels of autonomy, and current benefits …
Enhancing the security of unmanned aerial systems using digital-twin technology and intrusion detection
B Fraser, S Al-Rubaye, S Aslam… - 2021 IEEE/AIAA 40th …, 2021 - ieeexplore.ieee.org
In this paper the general susceptibilities of Unmanned Aerial Vehicles (UAVs) against
modern-cyber threats are explored and potential solutions proposed. This is achieved by …
modern-cyber threats are explored and potential solutions proposed. This is achieved by …
Anomaly detection for unmanned aerial vehicle sensor data using a stacked recurrent autoencoder method with dynamic thresholding
V Bell, D Rengasamy, B Rothwell… - arXiv preprint arXiv …, 2022 - arxiv.org
With substantial recent developments in aviation technologies, Unmanned Aerial Vehicles
(UAVs) are becoming increasingly integrated in commercial and military operations …
(UAVs) are becoming increasingly integrated in commercial and military operations …
Artificial intelligence based approach for fault and anomaly detection within UAVs
A non-predicted defect in Unmanned Aerial Vehicles (UAVs) could occur provisionally
during their deployment process. Consequently, it is critical to optimize the detection of these …
during their deployment process. Consequently, it is critical to optimize the detection of these …
A survey on the use of deep learning techniques for uav jamming and deception
O Šimon, T Götthans - Electronics, 2022 - mdpi.com
Unmanned aerial vehicles (UAVs) can be used for a variety of illegal activities (eg, industrial
espionage, smuggling, terrorism). Given their growing popularity and availability, and …
espionage, smuggling, terrorism). Given their growing popularity and availability, and …
Research on drone fault detection based on failure mode databases
D Hou, Q Su, Y Song, Y Yin - Drones, 2023 - mdpi.com
Drones are widely used in a number of key fields and are having a profound impact on all
walks of life. Working out how to improve drone safety through fault detection is key to …
walks of life. Working out how to improve drone safety through fault detection is key to …