Adversarial Learning based framework for Anomaly Detection in the context of Unmanned Aerial Systems

Adversarial Learning based framework for Anomaly Detection in the context of Unmanned Aerial Systems

Anomaly detection aims to identify the data samples that do not conform to a known normal (regular) behavior. As the definition of an anomaly is often ambiguous, unsupervised and semi-supervised deep learning (DL) algorithms that primarily use unlabeled datasets to model normal (regular) behaviors,...

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Bibliographic Details
Main Author: Bhaskar, Sandhya
Other Authors: Electrical and Computer Engineering
Format: Others
Published: Virginia Tech 2021
Subjects:
Moving camera
Anomaly Detection
Adversarial Learning
Unmanned Aerial Systems (UAS)
Online Access:http://hdl.handle.net/10919/106935

Internet

http://hdl.handle.net/10919/106935

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