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Youngim Nam

2 accepted papers

2024

Integrated Data-driven Inference and Planning-based Human Motion Prediction for Safe Human-Robot Interaction

ICRA 2024poster

This paper presents a unified prediction and planning algorithm for an autonomous vehicle to interact with an uncertain human-driven vehicle. Predicting human motion is challenging due to inherent uncertainties in diverse human internal states, i.e., driving styles and rationality. To address these…

Cited by 0SourceScholar
2024

Kernel-Based Metrics Learning for Uncertain Opponent Vehicle Trajectory Prediction in Autonomous Racing

RA-L 2024

Autonomous racing confronts significant challenges in safely overtaking Opponent Vehicles (OVs) that exhibit uncertain trajectories, stemming from unknown driving policies. To address these challenges, this study proposes heterogeneous kernel metrics for Deep Kernel Learning (DKL), designed to robus

Cited by 0SourceScholar