A Positioning and Navigation Method Combining Multimotion Features Dead Reckoning with Acoustic Localization. [PDF]
Sensors (Basel), 2023 Yan S +5 more
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Step Length Is a More Reliable Measurement Than Walking Speed for Pedestrian Dead-Reckoning. [PDF]
Int Conf Indoor Position Indoor Navig, 2023 Elyasi F, Manduchi R.
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物联网学报Significant attention has been paid to indoor localization using smartphones in both research and industry.However, the accuracy and robustness of localization remain challenging issues, particularly in complex indoor environments.In light of the ...
Xuechen CHEN +3 more
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Motion-State-Aware Adaptive Step-Length Smartphone PDR for GPS-Denied Pedestrian Localization. [PDF]
Sensors (Basel)Liu H, Dou W, Wang H.
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Axes Mapping and Sensor Fusion for Attitude-Unconstrained Pedestrian Dead Reckoning. [PDF]
Sensors (Basel)Isaia C, Yu L, Cai W, Michaelides MP.
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Walking Dynamics, User Variability, and Window Size Effects in FGO-Based Smartphone PDR+GNSS Fusion. [PDF]
Sensors (Basel)Magsi AH, Díez LE.
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Improving Indoor Pedestrian Dead Reckoning for Smartphones under Magnetic Interference Using Deep Learning. [PDF]
Sensors (Basel), 2023 Zhu P, Yu X, Han Y, Xiao X, Liu Y.
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Optimizing the Reliability of Underground Utility Tunnel Localization via Multi-Source Fusion and DVAE-CNN. [PDF]
Sensors (Basel)Chang S +6 more
europepmc +1 more source
Deep Neural Network-Based Fusion Localization Using Smartphones. [PDF]
Sensors (Basel), 2023 Yan S +5 more
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Multi-Phase Fusion for Pedestrian Localization Using Mass-Market GNSS and MEMS Sensors. [PDF]
Sensors (Basel), 2023 Liu Q +5 more
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