Aerospace and Electronic Systems Magazine April 2017 - 16
Airplane Flight Safety Using Error-Tolerant Data Stream Processing
Researchers from Rensselaer Polytechnic Institute. From left to right:
Carlos A. Varela, Alessandro Galli, Sida Chen, Wennan Zhu, Frederick
Lee, Shigeru Imai.
data and facilitate distributed computing optimizations needed for
real-time response. Finally, uncertainty quantification , 
is an important future direction to associate data confidence and
error estimation in support of pilot decision making.
As automated flight systems take into account terrain data, updated weather, and information from other planes, a more complete
picture can be formed to assist pilots, especially in emergency conditions. Fundamental developments needed for human expert-level
machine flight assistants include a combination of quantitative and
qualitative spatio-temporal logics and reasoning systems, as well as
stochastic reasoning. Further research in these fundamental directions will enable automated spatio-temporal situational awareness as
required for computer flight assistance in emergency conditions.
This research is partially supported by the DDDAS program of the
Air Force Office of Scientific Research Grant No. FA9550-15-10214, NSF Grant No. 1462342, and a Yamada Corporation Fellowship. We appreciate the thoughtful comments from Alexandra
Zytek, Carlos Gomez, David Glowny, and the reviewers which led
to improvements to the PILOTS software.
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