arXiv Computer Vision
4D-RaDiff: Latent Point Diffusion for 4D Radar Point Cloud Generation
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RadarGen: Automotive Radar Point Cloud Generation from Cameras
arXiv:2512. 17897v2 Announce Type: replace-cross Abstract: We present RadarGen, a diffusion model for synthesizing realistic automotive radar point clouds from multi-view camera imagery.
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HyperDet: 3D Object Detection with Hyper 4D Radar Point Clouds
arXiv:2602. 11554v3 Announce Type: replace-cross Abstract: How far can 3D object detection go using 4D radar alone?
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Accuracy- and Real-Time-Aware 4D Radar Preprocessing for Autonomous Driving Perception Systems
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arXiv Computer Vision
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4D Radar Perception Algorithms for Autonomous Driving: A Review
The review surveys 4D millimeter‑wave radar perception algorithms for autonomous driving, covering signal processing, object detection, semantic segmentation, motion estimation, occupancy prediction, and dynamic scene reconstruction. It organizes the field by perception tasks, discusses radar fundamentals, data representations, and quality‑enhancement methods, and compares radar‑only learning, multimodal fusion, and cross‑modal supervision. The paper also summarizes datasets, annotations, evaluation protocols, and outlines common challenges and future research directions.
arXiv Computer Vision
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STAR: Scene- and Task-Aware 4D Radar Preprocessing Towards End-to-End Cognitive Radar
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arXiv Machine Learning
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Open-Weather Robust 3D Detection via Dual-Critic Diffusion Alignment
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