Anomaly Detection for Data from Unmanned Systems via Improved Graph Neural Networks with Attention Mechanism

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...

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Bibliographic Details
Main Authors: Guoying Wang, Jiafeng Ai, Lufeng Mo, Xiaomei Yi, Peng Wu, Xiaoping Wu, Linjun Kong
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Drones
Subjects:
anomaly detection
unmanned aerial vehicle
multidimensional data
graph neural network
attention mechanism
time series
Online Access:https://www.mdpi.com/2504-446X/7/5/326

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https://www.mdpi.com/2504-446X/7/5/326

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