arXiv Machine Learning By Seokbin Yoon, Keumjin Lee

Multi-Agent Inverted Transformer for Flight Trajectory Prediction

Read the original on arXiv Machine Learning →

arXiv:2509. 21004v3 Announce Type: replace Abstract: Flight trajectory prediction for multiple aircraft is essential and provides critical insights into how aircraft navigate within current air traffic flows.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

arXiv Machine Learning
Jun 26

Learning to Explain Air Traffic Situation

arXiv:2502. 10764v4 Announce Type: replace Abstract: Understanding how air traffic controllers construct a mental 'picture' of complex air traffic situations is crucial but remains a challenge due to the inherently intricate, high-dimensional interactions between aircraft, pilots, and controllers.

By Hong-ah Chai, Seokbin Yoon, Keumjin Lee