TY - GEN
T1 - Applying a model-based observer to estimate pilot expectation
AU - Bozan, Anil
AU - Onur, Can
AU - Whitcher, Lee
AU - Pritchett, Amy
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/8
Y1 - 2014/12/8
N2 - This paper applies a model-based observer (MBO) to estimate the best possible pilot expectation of the aircraft state based on knowledge of the aircraft dynamics, vestibular system sensing, and a given visual scan. This paper presents a few case studies where the MBO is applied in various flight regimes reflecting common maneuvers observed in spatial disorientation related accidents. The results demonstrate how key pilot scanning behaviors during the maneuvers can foster or hinder pilot's expectation of the aircraft state, and the paper concludes with a discussion of potential implications for pilot training and design of flightdeck displays and alerting systems.
AB - This paper applies a model-based observer (MBO) to estimate the best possible pilot expectation of the aircraft state based on knowledge of the aircraft dynamics, vestibular system sensing, and a given visual scan. This paper presents a few case studies where the MBO is applied in various flight regimes reflecting common maneuvers observed in spatial disorientation related accidents. The results demonstrate how key pilot scanning behaviors during the maneuvers can foster or hinder pilot's expectation of the aircraft state, and the paper concludes with a discussion of potential implications for pilot training and design of flightdeck displays and alerting systems.
UR - http://www.scopus.com/inward/record.url?scp=84919784498&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84919784498&partnerID=8YFLogxK
U2 - 10.1109/DASC.2014.6979426
DO - 10.1109/DASC.2014.6979426
M3 - Conference contribution
AN - SCOPUS:84919784498
T3 - AIAA/IEEE Digital Avionics Systems Conference - Proceedings
SP - 2C11-2C113
BT - 2014 IEEE/AIAA 33rd Digital Avionics Systems Conference, DASC
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 33rd Digital Avionics Systems Conference, DASC 2014
Y2 - 5 October 2014 through 9 October 2014
ER -