HYMN is a multi-sensor, time-synchronized indoor-outdoor positioning dataset combining five radio technologies (GNSS, UWB, BLE, WiFi, 5G) with total-station ground truth across 48 reference points in an industrial hall.
NIPS ’22, Curran Associates Inc., Red Hook, NY, USA (2022)
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2representative citing papers
citing papers explorer
-
Bimanual Robot Manipulation via Multi-Agent In-Context Learning
HYMN is a multi-sensor, time-synchronized indoor-outdoor positioning dataset combining five radio technologies (GNSS, UWB, BLE, WiFi, 5G) with total-station ground truth across 48 reference points in an industrial hall.
- Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents