milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing

arXiv:2306.17010v5 Announce Type: replace-cross
Abstract: Human motion sensing plays a crucial role in smart systems for decision-making, user interaction, and personalized services. Extensive research that has been conducted is predominantly based on cameras, whose intrusive nature limits their use in smart home applications. To address this, mmWave radars have gained popularity due to their privacy-friendly features. In this work, we propose milliFlow, a novel deep learning approach to estimate scene flow as complementary motion information for mmWave point cloud, serving …

abstract applications arxiv cameras cloud cs.ai cs.cv cs.lg decision flow home human making motion sensing nature personalized radar research role sensing services smart smart home systems type