PDRNN is a modular hybrid RNN-based system for fusing loosely coupled inertial and radio signals to achieve more accurate and robust pedestrian dead reckoning during high-acceleration movements.
Ronin: Robust neural inertial navigation in the wild: Benchmark, evaluations, and new methods
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
PDRNN: Modular Data-driven Pedestrian Dead Reckoning on Loosely Coupled Radio- and Inertial-Signalstreams
PDRNN is a modular hybrid RNN-based system for fusing loosely coupled inertial and radio signals to achieve more accurate and robust pedestrian dead reckoning during high-acceleration movements.