An Anomaly Detection Method for UAV Based on Wavelet Decomposition and Stacked Denoising Autoencoder
S Zhou, Z He, X Chen, W Chang - Aerospace, 2024 - mdpi.com
The paper proposes an anomaly detection method for UAVs based on wavelet
decomposition and stacked denoising autoencoder. This method takes the negative impact …
decomposition and stacked denoising autoencoder. This method takes the negative impact …
Data-driven anomaly detection of UAV based on multimodal regression model
B Wang, D Liu, X Peng, Z Wang - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) have been widely used in military and civilian
applications. Meanwhile, anomaly detection as an essential part of UAV condition …
applications. Meanwhile, anomaly detection as an essential part of UAV condition …
Data-driven anomaly detection for UAV sensor data based on deep learning prediction model
Unmanned Aerial Vehicle (UAV) can accomplish various specific tasks and play an
increasingly essential role in military, industrial and civil fields. However, the safety of the …
increasingly essential role in military, industrial and civil fields. However, the safety of the …
UAV anomaly detection with distributed artificial intelligence based on LSTM-AE and AE
G Bae, I Joe - … and Ubiquitous Engineering: MUE/FutureTech 2019 …, 2020 - Springer
In this paper, we propose a novel method for UAV anomaly detection in the distributed
artificial intelligence environment by using deep learning models. In the conventional …
artificial intelligence environment by using deep learning models. In the conventional …
Unmanned Aerial Vehicles anomaly detection model based on sensor information fusion and hybrid multimodal neural network
H Deng, Y Lu, T Yang, Z Liu, JC Chen - Engineering Applications of …, 2024 - Elsevier
Abstract The use of Unmanned Aerial Vehicle (UAV) in various industries is increasing,
which places higher requirements on the reliability of UAV. One of the ways to ensure the …
which places higher requirements on the reliability of UAV. One of the ways to ensure the …
UAV Flight Data Anomaly Detection Based on Parameter Selection and Multiple Regression
Unmanned aerial vehicles (UAVs) are important in military and civilian applications. Flight
data anomaly detection is an essential part of ensuring the safety and reliability of UAV s …
data anomaly detection is an essential part of ensuring the safety and reliability of UAV s …
An adaptable UAV sensor data anomaly detection method based on TCN model transferring
J You, J Liang, D Liu - 2022 Prognostics and Health …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles play a critical role in both military and civilian applications, and
their safety and reliability have also been paid more and more attention. UAV anomaly …
their safety and reliability have also been paid more and more attention. UAV anomaly …
UAV Fault and Anomaly Detection Using Autoencoders
R Dhakal, C Bosma, P Chaudhary… - 2023 IEEE/AIAA 42nd …, 2023 - ieeexplore.ieee.org
The popularity of Uncrewed Aerial Vehicles (UAVs) is on the rise, but these complex
systems are susceptible to faults and anomalies impacting their safety and performance. To …
systems are susceptible to faults and anomalies impacting their safety and performance. To …
Survey on anomaly detection algorithms for unmanned aerial vehicle flight data
C QI, W HE, Y JIAO, Y MA, W CAI, S REN - Journal of Computer …, 2023 - joca.cn
Focused on the issue of anomaly detection for Unmanned Aerial Vehicle (UAV) flight data in
the field of UAV airborne health monitoring, firstly, the characteristics of UAV flight data, the …
the field of UAV airborne health monitoring, firstly, the characteristics of UAV flight data, the …
Sensor data-driven uav anomaly detection using deep learning approach
Thanks to the high mobility and rich sensing capabilities of unmanned aerial vehicles
(UAVs), or drones, they are increasingly leveraged to perform a series of military and civilian …
(UAVs), or drones, they are increasingly leveraged to perform a series of military and civilian …