Yanpu Yun — accepted AI-conference papers

2025

LCSPose: Efficient, Accurate and Scalable Markerless 6-DoF Pose Estimation of a Quay Crane Spreader Based on LiDAR and Camera

Yichen Zhou, Jun Zhang, Guohao Peng, Yanpu Yun, Yiyao Liu, Yuanzhe Wang +1

ICRA 2025

Accurate Six Degrees of Freedom (6-DoF) pose estimation of Ship-To-Shore (STS) quay crane spreaders is crucial for ensuring safe and efficient container handling in port automation. However, existing pose estimation techniques face significant challenges, as camera-based systems either rely on marke

Cited by 0 Source ↗Scholar ↗

2025

Overlapping Free: Anchorless UWB-Assisted Relative Pose Estimation for Multi-Robot Systems

Yanpu Yun, Guohao Peng, Yichen Zhou, Jun Zhang, Yiyao Liu, Kaimin Mao +1

ICRA 2025

Accurate Relative Pose Estimation (RPE) is critical for effective collaboration of multi-robot systems. Traditional methods using cameras or LiDARs heavily rely on overlapping Fields of View (FoV) between robots, which is highly demanding in practical applications and may hinder collaboration effici

Cited by 2 Source ↗Scholar ↗