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STE-RS: A novel framework for Robust Anomaly Detection in UAV flight data
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DOI：10.1016/j.rineng.2025.106801.png)
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Abstract
En 中文
• A spatio-temporal enhanced (STE) model incorporating temporal and spatial features is constructed. • A spatio-temporal enhanced residual smoothing (STE-RS) framework for UAV anomaly detection is proposed. • The effectiveness of STE-RS is validated using UAV flight data with high-dimensional and complex features. • Some explanations for anomalies or root causes are provided.
Keywords:
Anomaly detection
Clustering
Granger Causality
Unmanned aerial vehicle (UAV)
Multivariate time series
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