Unsupervised Abnormality Detection Using Heterogenous Autonomous System

  title={Unsupervised Abnormality Detection Using Heterogenous Autonomous System},
  author={Sayeed Shafayet Chowdhury and Kazi Mejbaul Islam and Rouhan Noor},
  journal={2020 IEEE REGION 10 CONFERENCE (TENCON)},
Due to the rise of autonomous vehicles like drones and cars anomaly detection for better and robust surveillance becomes prominent for real-time recognition of normal and abnormal states. But the whole system fails if the unmanned device is unable to detect its own device's anomaly in real-time. Considering the scenario, we can make use of various data of autonomous vehicles like images, video streams, and other digital or analog sensor data to detect device anomaly. In this paper, we have… 

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