Unsupervised Anomaly Detection of Unmanned Aerial Vehicles based on Spatial-Temporal Model with Flight Data
Author:
Affiliation:
1. School of Electrical Engineering, Yanshan University,Qinhuangdao,China,066004
2. School of Information Science and Engineering, Yanshan University,Qinhuangdao,China,066004
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10476360/10476361/10476524.pdf?arnumber=10476524
Reference16 articles.
1. UAV Fault Detection Methods, State-of-the-Art
2. A survey of unmanned aerial vehicle flight data anomaly detection: Technologies, applications, and future directions
3. Real-Time Fault Detection for UAV Based on Model Acceleration Engine
4. An Actuator Fault Detection and Reconstruction Scheme for Hex-Rotor Unmanned Aerial Vehicle
5. Dynamic Event-Triggered Hᵢ/H∞ Optimization Approach to Fault Detection for Unmanned Aerial Vehicles
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