Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar

arXiv:2405.04662v1 Announce Type: new
Abstract: Neural fields have been broadly investigated as scene representations for the reproduction and novel generation of diverse outdoor scenes, including those autonomous vehicles and robots must handle. While successful approaches for RGB and LiDAR data exist, neural reconstruction methods for radar as a sensing modality have been largely unexplored. Operating at millimeter wavelengths, radar sensors are robust to scattering in fog and rain, and, as such, offer a complementary modality to active and passive optical …

abstract arxiv autonomous autonomous vehicles cs.cv data diverse fields lidar novel radar robots sensing space type vehicles while