Cargando…
Map-Based Indoor Pedestrian Navigation Using an Auxiliary Particle Filter
In this research, a non-infrastructure-based and low-cost indoor navigation method is proposed through the integration of smartphone built-in microelectromechanical systems (MEMS) sensors and indoor map information using an auxiliary particle filter (APF). A cascade structure Kalman particle filter...
Autores principales: | Yu, Chunyang, El-Sheimy, Naser, Lan, Haiyu, Liu, Zhenbo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6189818/ https://www.ncbi.nlm.nih.gov/pubmed/30400415 http://dx.doi.org/10.3390/mi8070225 |
Ejemplares similares
-
A Map/INS/Wi-Fi Integrated System for Indoor Location-Based Service Applications
por: Yu, Chunyang, et al.
Publicado: (2017) -
Inertial Indoor Pedestrian Navigation Based on Cascade Filtering Integrated INS/Map Information
por: Fan, Menghao, et al.
Publicado: (2022) -
Motion Constraints and Vanishing Point Aided Land Vehicle Navigation
por: Liu, Zhenbo, et al.
Publicado: (2018) -
Combining a Modified Particle Filter Method and Indoor Magnetic Fingerprint Map to Assist Pedestrian Dead Reckoning for Indoor Positioning and Navigation
por: Ning, Fang-Shii, et al.
Publicado: (2019) -
Improving the Heading Accuracy in Indoor Pedestrian Navigation Based on a Decision Tree and Kalman Filter
por: Hu, Guanghui, et al.
Publicado: (2020)