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- W3090852009 abstract "Aiming at the demand of navigation and positioning for pedestrians in the environment where satellite signals are limited, an autonomous navigation system for pedestrian based on foot-bound MIMU and smartphone is designed. The design and implementation of the hardware and software architecture of the system are mainly studied. The zero-velocity state detection method based on deep learning is applied in the pedestrian inertial navigation algorithm based on zero-velocity update. In the case of only relying on the pedestrian's own equipments, the system can display the 2-D and 3-D trajectory of the pedestrian in real time, and multiple pedestrians can share their navigation and positioning results on the smartphone through remote cloud server. The experimental results show that the positioning accuracy of the pedestrian navigation system can be controlled within 0.3% under normal walking conditions, which can meet the navigation and positioning needs of pedestrian." @default.
- W3090852009 created "2020-10-08" @default.
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- W3090852009 creator A5069868646 @default.
- W3090852009 date "2020-08-01" @default.
- W3090852009 modified "2023-09-26" @default.
- W3090852009 title "An autonomous navigation system for pedestrian based on foot-bound MIMU and smartphone" @default.
- W3090852009 doi "https://doi.org/10.1109/ihmsc49165.2020.10124" @default.
- W3090852009 hasPublicationYear "2020" @default.
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