Situation recognition as a step to an intelligent situation-aware crew assistant system

title: Situation recognition as a step to an intelligent situation-aware crew assistant system
author(s): Quint M. Mouthaan, Patrick A.M. Ehlert and Leon J.M. Rothkrantz
published in: October 2003
appeared in: Heskes, T., Lucas, P., Vuurpijl, L. and Wiegerinck, W. (Eds.)
Proceedings of the 15th Belgium-Netherlands conference on Artificial Intelligence (BNAIC 2003), Nijmegen, The Netherlands.
pages: 219-226
PDF (201 KB)
Presentation PDF (765 KB)

Abstract

In this paper we present a system that can recognize situations during a flight in real-time based on data from simulated aircraft systems. The system uses Bayesian belief networks to calculate the probabilities of both the start and end of all possible situations and from this distillates the most probable situation. The situation recognizer system is part of our test environment to create better human-machine interfaces in the cockpit.

 
blue line
University logo