Dragon-v: Detection and recognition of airplane goals with navigational visualization

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Abstract

We introduce Detection and Recognition of Airplane GOals with Navigational Visualization (DRAGON-V), a visualization system that uses probabilistic goal recognition to infer and display the most probable airport runway that a pilot is approaching. DRAGON-V is especially useful in cases of miscommunication, low visibility, or lack of airport familiarity which may result in a pilot deviating from the assigned taxiing route. The visualization system conveys relevant information, and updates according to the airplane's current geolocation. DRAGON-V aims to assist air traffic controllers in reducing incidents of runway incursions at airports.

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APA

Wayllace, C., Ha, S., Han, Y., Hu, J., Monadjemi, S., Yeoh, W., & Ottley, A. (2020). Dragon-v: Detection and recognition of airplane goals with navigational visualization. In AAAI 2020 - 34th AAAI Conference on Artificial Intelligence (pp. 13642–13643). AAAI press. https://doi.org/10.1609/aaai.v34i09.7108

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