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Jaehwan Lee

2 accepted papers

2025

Accurate Pose Refinement of Detected Vehicles Using LiDAR Point-to-Surfel ICP and Vehicle Shape Priors

RA-L 2025

This paper proposes an accurate pose refinement system that integrates point cloud registration and vehicle prior shapes to improve LiDAR-based vehicle pose estimation. For safe autonomous driving, centimeter-level accuracy is essential for estimating the poses of nearby vehicles. Although existing

Cited by 1SourcecodeScholar
2025

Radar4VoxMap: Accurate Odometry from Blurred Radar Observations

ICRA 2025

Compared to conventional 3D radar, the 4D imaging radar provides additional height data and finer resolution measurements. Moreover, compared to LiDAR sensors, 4D imaging radar is more cost-effective and offers enhanced durability against challenging weather conditions. Despite these advantages, rad

Cited by 2SourcecodeScholar