HyperDet: 3D Object Detection with Hyper 4D Radar Point Clouds

arXiv:2602.11554 · cs.RO, cs.CV, cs.LG · Submitted 2026-02-12 · Read on arXiv

cs.RO, cs.CV, cs.LG

Submitted: 2026-02-12

Updated: 2026-09-21

Comments: 9 pages, 3 figures, 6 tables

Code: https://github.com/open-mmlab/OpenPCDet

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Point Clouds — 19× in this paper · explained in 2 episodes
• Consistency — 12× in this paper · explained in 3 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Diffusion Model — 5× in this paper · explained in 8 episodes
• Distillation — 4× in this paper · explained in 2 episodes
• Fidelity — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Aggregation — 3× in this paper · explained in 1 episode
• Consistency Distillation — 3× in this paper · explained in 2 episodes
• Flow Matching — 3× in this paper · explained in 8 episodes
• Multimodal Dataset — 3× in this paper · explained in 2 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Chamfer Distance — 1× in this paper
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Flow Matching Model — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Hausdorff Distance — 1× in this paper
• Sparsity — 1× in this paper · explained in 4 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes

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