Unmanned Aerial Vehicles anomaly detection model based on sensor information fusion and hybrid multimodal neural network

Author:

Deng Hongli,Lu YuORCID,Yang Tao,Liu Ziyu,Chen JiangChuan

Funder

China Scholarship Council

Publisher

Elsevier BV

Reference33 articles.

1. “AAIB Investigation to DJI M600 Pro (UAS, Registration N/a) 131219”, Website 06,2020

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3. Unmanned Aerial Vehicles Traffic Management Solution Using Crowd-Sensing and blockchain[J];Alkadi,2022

4. A sound based method for fault detection with statistical feature extraction in UAV motors;Altinors;Appl. Acoust.,2021

5. UAV Anomaly Detection with Distributed Artificial Intelligence Based on LSTM-AE and AE[C]//Advanced Multimedia and Ubiquitous Engineering: MUE/FutureTech 2019 13;Bae,2020

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