An Intelligent Autopilot System that learns flight emergency procedures by imitating human pilots

@article{Baomar2016AnIA,
  title={An Intelligent Autopilot System that learns flight emergency procedures by imitating human pilots},
  author={Haitham Baomar and Peter John Bentley},
  journal={2016 IEEE Symposium Series on Computational Intelligence (SSCI)},
  year={2016},
  pages={1-9}
}
  • Haitham Baomar, P. Bentley
  • Published 1 December 2016
  • Computer Science
  • 2016 IEEE Symposium Series on Computational Intelligence (SSCI)
We propose an extension to the capabilities of the Intelligent Autopilot System (IAS) from our previous work, to be able to learn handling emergencies by observing and imitating human pilots. [] Key Method A robust Learning by Imitation approach is proposed which uses human pilots to demonstrate the task to be learned in a flight simulator while training datasets are captured from these demonstrations. The datasets are then used by Artificial Neural Networks to generate control models automatically.

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