TY - GEN
T1 - Dragon-v
T2 - 34th AAAI Conference on Artificial Intelligence, AAAI 2020
AU - Wayllace, Christabel
AU - Ha, Sunwoo
AU - Han, Yuchen
AU - Hu, Jiaming
AU - Monadjemi, Shayan
AU - Yeoh, William
AU - Ottley, Alvitta
N1 - Publisher Copyright:
© 2020, Association for the Advancement of Artificial Intelligence.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85101009165
M3 - Conference contribution
AN - SCOPUS:85101009165
T3 - AAAI 2020 - 34th AAAI Conference on Artificial Intelligence
SP - 13642
EP - 13643
BT - AAAI 2020 - 34th AAAI Conference on Artificial Intelligence
PB - AAAI press
Y2 - 7 February 2020 through 12 February 2020
ER -