6 papers
Can Vision Models Read the Radar Display? On the Feasibility of Radar Imagery for Air Traffic Complexity Estimation
Hyewook Kim, Byul Kang, Seokbin Yoon +1
Air traffic controllers perceive traffic complexity through the radar display, suggesting that a computer vision model operating on the same imagery may provide a natural architect…
Learning to Explain Air Traffic Situation
Hong-ah Chai, Seokbin Yoon, Keumjin Lee
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-di…
Airport Terminal Passenger Queue Forecasting for Departure Gates and Security Checkpoints
Juhwan Lee, Seokbin Yoon, Keumjin Lee +2
Accurate passenger queue forecasting in airport terminals is essential for efficient departure operations, as it enables proactive congestion management. However, time-varying pass…
Multi-Agent Inverted Transformer for Flight Trajectory Prediction
Seokbin Yoon, Keumjin Lee
Flight trajectory prediction for multiple aircraft is essential and provides critical insights into how aircraft navigate within current air traffic flows. However, predicting mult…
Probabilistic Multi-Agent Aircraft Landing Time Prediction
Kyungmin Kim, Seokbin Yoon, Keumjin Lee
Accurate and reliable aircraft landing time prediction is essential for effective resource allocation in air traffic management. However, the inherent uncertainty of aircraft traje…
Aircraft Trajectory Dataset Augmentation in Latent Space
Seokbin Yoon, Keumjin Lee
Aircraft trajectory modeling plays a crucial role in air traffic management (ATM) and is important for various downstream tasks, including conflict detection and landing time predi…