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The drone industry is worth nearly 50 billion dollars in the public sector, and drone flight anomalies can cost up to 12 million dollars per drone. The project's objective is to explore various machine-learning techniques to identify anomalies in drone

The drone industry is worth nearly 50 billion dollars in the public sector, and drone flight anomalies can cost up to 12 million dollars per drone. The project's objective is to explore various machine-learning techniques to identify anomalies in drone flight and express these anomalies effectively by creating relevant visualizations. The research goal is to solve the problem of finding anomalies inside drones to determine severity levels. The solution was visualization and statistical models, and the contribution was visualizations, patterns, models, and the interface.
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    Title
    • Anomaly Mining and Visualization of Autonomous Aerial Vehicles
    Contributors
    Date Created
    2022
    Resource Type
  • Text
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    Note
    • Partial requirement for: M.S., Arizona State University, 2022
    • Field of study: Computer Science

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