Unmanned Aerial Vehicle Anomaly Detection Based on Causality-Enhanced Graph Neural Networks

Unmanned Aerial Vehicle Anomaly Detection Based on Causality-Enhanced Graph Neural Networks

With the widespread application of unmanned aerial vehicles (UAVs), the safety detection system of UAVs has created an urgent need for anomaly detection technology. As a direct representation of system health status, flight data contain critical status information, driving data-driven methods to gra...

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Bibliographic Details
Main Authors: Chen Feng, Jun Fan, Zhiliang Liu, Guang Jin, Siya Chen
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Drones
Subjects:
unmanned aerial vehicle (UAV)
anomaly detection
graph neural networks
multivariate time series
flight data
causality
Online Access:https://www.mdpi.com/2504-446X/9/6/408
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