DRAGON-V: Detection and Recognition of Airplane Goals with Navigational Visualization

Authors

  • Christabel Wayllace Washington University in St. Louis
  • Sunwoo Ha Washington University in St Louis
  • Yuchen Han Washington University in St Louis
  • Jiaming Hu Washington University in St Louis
  • Shayan Monadjemi Washington University in St Louis
  • William Yeoh Washington University in St. Louis
  • Alvitta Ottley Washington University in St Louis

DOI:

https://doi.org/10.1609/aaai.v34i09.7108

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.

AAAI-20, IAAI-20, EAAI-20 Proceedings Cover

Downloads

Published

2020-04-03

How to Cite

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. Proceedings of the AAAI Conference on Artificial Intelligence, 34(09), 13642-13643. https://doi.org/10.1609/aaai.v34i09.7108

Issue

Vol. 34 No. 09: Issue 9: EAAI-20 / AAAI Special Programs

Section

Demonstration Track