Automatic Real-time Anomaly Detection for Autonomous Aerial Vehicles

@article{Keipour2019AutomaticRA,
  title={Automatic Real-time Anomaly Detection for Autonomous Aerial Vehicles},
  author={A. Keipour and M. Mousaei and S. Scherer},
  journal={2019 International Conference on Robotics and Automation (ICRA)},
  year={2019},
  pages={5679-5685}
}
  • A. Keipour, M. Mousaei, S. Scherer
  • Published 2019
  • Computer Science, Engineering
  • 2019 International Conference on Robotics and Automation (ICRA)
  • The recent increase in the use of aerial vehicles raises concerns about the safety and reliability of autonomous operations. There is a growing need for methods to monitor the status of these aircraft and report any faults and anomalies to the safety pilot or to the autopilot to deal with the emergency situation. In this paper, we present a real-time approach using the Recursive Least Squares method to detect anomalies in the behavior of an aircraft. The method models the relationship between… CONTINUE READING
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