Regression Methods Applied to Flight Variables for Situational Awareness Estimation Using Dynamic Bayesian Networks

@inproceedings{Morales2016RegressionMA,
  title={Regression Methods Applied to Flight Variables for Situational Awareness Estimation Using Dynamic Bayesian Networks},
  author={Carlos Morales and Seraf{\'i}n Moral},
  booktitle={Probabilistic Graphical Models},
  year={2016}
}
Situational awareness can be a valuable indicator of the performance of flight crews and the way pilots manage navigation information can be relevant to its estimation. In this research, dynamic Bayesian networks are applied to a dataset of variables both collected in real time during simulated flights and added with expert knowledge. This paper compares different approaches to the discretization of continuous variables and to the estimation of pilot actions based on variable regression, in… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

References

Publications referenced by this paper.
Showing 1-9 of 9 references

Estimating mixtures of truncated exponentials in hybrid bayesian networks

  • A.S.R. Rumı, S. Moral
  • Test, 15:397–421,
  • 2006
1 Excerpt

Learnig Bayesian Networks

  • R. Neapolitan
  • 2004
1 Excerpt

A comparative analysis of sagat and sart for evaluations of situation awareness

  • S. J. Selcon, T. D. Hardiman, D. G. Croft.
  • Proceedings of the human factors and ergonomics…
  • 1995

A theory of situation assessment: Implications for measuring situation awareness

  • M. L. Fracker
  • In Proceedings of the Human Factors and…
  • 1988
1 Excerpt

C . Morales and S . Moral . Discretization of simulated flight parameters for estimation of situational awareness using dynamic bayesian networks

  • S.

Moral . Modelling aircrew information management for estimation of situational awareness using dynamic bayesian networks

  • A. S. R. Rumı́, S. Moral.
  • Simulation Modelling Practice and Theory

Similar Papers

Loading similar papers…