Millimeter Wave Radar: From Synthetic Aperture to Probabilistic Mapping

arXiv:2607.10161v1 Announce Type: new Abstract: Robust probabilistic mapping is essential for autonomous robotic systems operating in challenging environments. While traditional sensors fail in adverse conditions such as smoke and fog, millimeter wave (mmWave) radar sensors offer reliable sensing in such conditions. However, creating accurate probabilistic maps from radar data presents significant challenges due to the inherently sparse and noisy characteristics of radio wave measurements and si...