Yong-Duk Kim — accepted AI-conference papers

2026

CrossTrack-UAV: A Real-World Dataset and Baseline for Cross-View Multi-Object Tracking Using Fixed-Wing UAVs

Chungsu Jang, Youngjung Kim, Sebin Lee, Wonsuk Kwon, Taehyun Kim, Yong-Duk Kim +1

RA-L 2026

Cross-view multi-object tracking (CVMOT) aims to simultaneously track a group of objects over time in each view and to associate the same objects across different views. This task is essential for swarm monitoring and has attracted considerable attention in the literature. However, most existing dat

Cited by 0 Source ↗Scholar ↗

2024

Maneuver-Conditioned Decision Transformer for Tactical in-Flight Decision-Making

Hoseong Jung, Yong-Duk Kim, Youngjung Kim

RA-L 2024

Autonomous maneuver decision in air combat is a challenging task with high-dimensional state-action spaces and nonlinear dynamics. Existing approaches are usually based on online learning paradigms, which hinders their application to real-world scenarios where online interactions, <italic xmlns:mml=

Cited by 1 Source ↗Scholar ↗