Cargando…
Combination of Smartphone MEMS Sensors and Environmental Prior Information for Pedestrian Indoor Positioning
In view of the inability of Global Navigation Satellite System (GNSS) to provide accurate indoor positioning services and the growing demand for location-based services, indoor positioning has become one of the most attractive research areas. Moreover, with the improvement of the smartphone hardware...
Autores principales: | Huang, Lu, Li, Hongsheng, Yu, Baoguo, Gan, Xingli, Wang, Boyuan, Li, Yaning, Zhu, Ruihui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219589/ https://www.ncbi.nlm.nih.gov/pubmed/32316230 http://dx.doi.org/10.3390/s20082263 |
Ejemplares similares
-
HPIPS: A High-Precision Indoor Pedestrian Positioning System Fusing WiFi-RTT, MEMS, and Map Information
por: Huang, Lu, et al.
Publicado: (2020) -
Pedestrian Dead Reckoning Based on Motion Mode Recognition Using a Smartphone
por: Wang, Boyuan, et al.
Publicado: (2018) -
Enhanced Heuristic Drift Elimination with Adaptive Zero-Velocity Detection and Heading Correction Algorithms for Pedestrian Navigation
por: Zhu, Ruihui, et al.
Publicado: (2020) -
RTK/Pseudolite/LAHDE/IMU-PDR Integrated Pedestrian Navigation System for Urban and Indoor Environments
por: Zhu, Ruihui, et al.
Publicado: (2020) -
Research on Pedestrian Indoor Positioning Based on Two-Step Robust Adaptive Cubature Kalman Filter with Smartphone MEMS Sensors
por: Geng, Jijun, et al.
Publicado: (2023)