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.

Summary generated by The Flow from the publisher's feed. 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