Intelligent systems for aviation need to be capable of understanding and representing anomalous events as they happen in real-time. We explore this problem with a proof of concept framework based on contextual one-shot learning, run on a human-in-the-loop flight simulator.
@incollection{gizzi2018Naecon, title={Knowledge Acquisition in the Cockpit Using One-Shot Learning}, author={Evana Gizzi and Lisa Le Vie and Matthias Scheutz and Vasanth Sarathy and Jivko Sinapov}, year={2018}, booktitle={Proceedings of the 2018 IEEE National Aerospace and Electronics Conference (NAECON)}, url={https://hrilab.tufts.edu/publications/gizzi2018Naecon.pdf} }