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Renbo Huang

2 accepted papers

2025

R2LDM: An Efficient 4D Radar Super-Resolution Framework Leveraging Diffusion Model

IROS 2025

We introduce R2LDM, an innovative approach for generating dense and accurate 4D radar point clouds, guided by corresponding LiDAR point clouds. Instead of utilizing range images or bird’s eye view (BEV) images, we represent both LiDAR and 4D radar point clouds using voxel features, which more effect

Cited by 5SourceScholar
2025

TDFANet: Encoding Sequential 4D Radar Point Clouds Using Trajectory-Guided Deformable Feature Aggregation for Place Recognition

ICRA 2025

Place recognition is essential for achieving closedloop or global positioning in autonomous vehicles and mobile robots. Despite recent advancements in place recognition using 2D cameras or 3D LiDAR, it remains to be seen how to use 4D radar for place recognition - an increasingly popular sensor for

Cited by 2SourceScholar