LOCUS-DT: Localization via Observation-Conditioned Uncertainty Scoring with Digital Twins
Accurate indoor localization is essential for emerging applications in robotic navigation and search and rescue. While classical methods typically focus on single-point estimates, complex indoor environments with heavy blockage and multipath propagation often lead to multimodal likelihood surfaces where a single estimate is insufficient. This paper proposes LOCUS-DT (Localization via Observation-Conditioned Uncertainty Scoring with Digital Twins), a framework that treats snapshot localization as posterior inference over the transmitter location. By leveraging a ray-tracing-based digital twin (DT) of the known environment, LOCUS-DT generates synthetic multipath profiles for candidate locat...
| Authors | Haozhe Lei, Roberto Bomfin, Marwa Chafii et al. |
|---|---|
| Primary category | eess.SP |
| Published | 1 August 2026 |
| Last updated at source | 13 August 2026 |
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