Anomaly Detection for Data from Unmanned Systems via Improved Graph Neural Networks with Attention Mechanism
Anomaly detection has an important impact on the development of unmanned aerial vehicles, and effective anomaly detection is fundamental to their utilization. Traditional anomaly detection discriminates anomalies for single-dimensional factors of sensing data, which often performs poorly in multidim...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-05-01
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Series: | Drones |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-446X/7/5/326 |