Detecting structural anomalies of quadcopter UAVs based on LSTM autoencoder

Detecting a structural anomaly, such as a damaged propeller or motor, is crucial for mission-critical operation of unmanned aerial vehicles (UAVs). The existing solutions often fail to detect structural anomalies because the pre-defined parameters required for the solution are limited in reflecting...

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Bibliographic Details

Published in:	Pervasive and mobile computing Vol. 88; p. 101736
Main Authors:	Jeon, Seunghyeok, Kang, Jaeyun, Kim, Jiwon, Cha, Hojung
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.01.2023
Subjects:	LSTM autoencoder Structural anomaly detection UAV Structural anomaly detection LSTM autoencoder UAV
ISSN:	1574-1192, 1873-1589
Online Access:	Get full text
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