High-Precision Pedestrian Indoor Positioning Method Based on Inertial and Magnetic Field Information. [PDF]
Yu N, Chen X, Feng R, Wu Y.
europepmc +1 more source
Indoor Localization Methods for Smartphones with Multi-Source Sensors Fusion: Tasks, Challenges, Strategies, and Perspectives. [PDF]
Liu J, Yang Z, Zlatanova S, Li S, Yu B.
europepmc +1 more source
A Review of Indoor Localization Methods Leveraging Smartphone Sensors and Spatial Context. [PDF]
Li J, Song Y, Ma Z, Liu Y, Chen C.
europepmc +1 more source
A Machine Learning-Assisted Recognition and Compensation Method for UWB Ranging Errors in Complex Indoor Environments. [PDF]
Zhang J, Zhang G, Xu Y, Li Z, Wu H.
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Wearable Multi-Sensor Positioning Prototype for Rowing Technique Evaluation. [PDF]
Rodriguez Mendoza L, O'Keefe K.
europepmc +1 more source
Robust Indoor Pedestrian Backtracking Using Magnetic Signatures and Inertial Data. [PDF]
Tsai CH, Manduchi R.
europepmc +1 more source
PALMS: Plane-based Accessible Indoor Localization Using Mobile Smartphones. [PDF]
Cheng Y, Manduchi R.
europepmc +1 more source
Unified Probabilistic and Similarity-Based Position Estimation from Radio Observations. [PDF]
Werner M +3 more
europepmc +1 more source
All the Way There and Back: Inertial-Based, Phone-in-Pocket Indoor Wayfinding and Backtracking Apps for Blind Travelers. [PDF]
Tsai CH, Elyasi F, Ren P, Manduchi R.
europepmc +1 more source

