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Yongshu Huang

2 accepted papers

2026

RCP-LO: A Relative Coordinate Prediction Framework for Generalizable Deep LiDAR Odometry

AAAI 2026technical

LiDAR odometry is a critical component of SLAM in autonomous driving and robotics. Learning-based methods have shown remarkable performance by regressing relative poses in an end-to-end manner. However, when applying these trained models, originally developed on the widely used KITTI dataset, to oth

Cited by 0SourcePDFScholar
2025

DiffLO: Semantic-Aware LiDAR Odometry with Diffusion-Based Refinement

CVPR 2025poster

LiDAR odometry is a critical module in autonomous driving systems, responsible for accurate localization by estimating the relative pose transformation between consecutive point cloud frames. However, existing studies frequently encounter challenges with unreliable pose estimation, due to the lack o…