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Junyong Yun

2 accepted papers

2023

R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement

ICCV 2023poster

Predicting the future motion of dynamic agents is of paramount importance to ensuring safety and assessing risks in motion planning for autonomous robots. In this study, we propose a two-stage motion prediction method, called R-Pred, designed to effectively utilize both scene and interaction context…

Cited by 21PDFScholar
2023

SiT Dataset: Socially Interactive Pedestrian Trajectory Dataset for Social Navigation Robots

NeurIPS 2023poster

To ensure secure and dependable mobility in environments shared by humans and robots, social navigation robots should possess the capability to accurately perceive and predict the trajectories of nearby pedestrians. In this paper, we present a novel dataset of pedestrian trajectories, referred to as…