DRAGON-V: Detection and Recognition of Airplane Goals with Navigational Visualization
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.
Cite
Text
Wayllace et al. "DRAGON-V: Detection and Recognition of Airplane Goals with Navigational Visualization." AAAI Conference on Artificial Intelligence, 2020. doi:10.1609/AAAI.V34I09.7108Markdown
[Wayllace et al. "DRAGON-V: Detection and Recognition of Airplane Goals with Navigational Visualization." AAAI Conference on Artificial Intelligence, 2020.](https://mlanthology.org/aaai/2020/wayllace2020aaai-dragon/) doi:10.1609/AAAI.V34I09.7108BibTeX
@inproceedings{wayllace2020aaai-dragon,
title = {{DRAGON-V: Detection and Recognition of Airplane Goals with Navigational Visualization}},
author = {Wayllace, Christabel and Ha, Sunwoo and Han, Yuchen and Hu, Jiaming and Monadjemi, Shayan and Yeoh, William and Ottley, Alvitta},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2020},
pages = {13642-13643},
doi = {10.1609/AAAI.V34I09.7108},
url = {https://mlanthology.org/aaai/2020/wayllace2020aaai-dragon/}
}