arXiv Machine Learning June 30, 2026 By Emily Bejerano, Federico Tondolo, Devang Gupta, Aaron Mano Cherian, Taeyoo Kim, Ayaan Qayyum, Xiaofan Yu, Xiaofan Jiang

RadarTwin: Scene-Specific mmWave Radar Simulation and Learning for Mobile Indoor Perception

Read the original on arXiv Machine Learning →

arXiv:2606. 28396v1 Announce Type: cross Abstract: Millimeter-wave (mmWave) radar perception is limited by data scarcity: models trained on existing radar datasets fail to generalize to new objects, environments, and sensing trajectories.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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