Robots that localize a radio transmitter need more than a point estimate: in cluttered rooms, one measurement is often consistent with several transmitter locations and, because upper-mid-band antennas are directional, several headings. We present MAGNETAR, which infers a joint posterior over planar transmitter positio...
Hao-Zhe Lei, Rui-Bin Chen, Yu-Han Jiang et al.· 0 citations
This work studies single-snapshot transmitter localization on partially explored maps and compares two approaches that output a posterior over transmitter locations, and concludes that digital-twin approach is more accurate on most single-snapshot metrics than MAPLE-RF.
LOCUS-DT (Localization via Observation-Conditioned Uncertainty Scoring with Digital Twins), a framework that treats snapshot localization as posterior inference over the transmitter location, is proposed, demonstrating that it captures the sharp, multimodal posterior structures inherent in indoor settings more accurate...