Cargando…
Magnetic Angular Rate and Gravity Sensor Based Supervised Learning for Positioning Tasks
This paper deals with sensor fusion of magnetic, angular rate and gravity sensor (MARG). The main contribution of this paper is the sensor fusion performed by supervised learning, which means parallel processing of the different kinds of measured data and estimating the position in periodic and non-...
Autores principales: | Nagy, Balázs, Botzheim, János, Korondi, Péter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960678/ https://www.ncbi.nlm.nih.gov/pubmed/31817428 http://dx.doi.org/10.3390/s19245364 |
Ejemplares similares
-
Multi-Sensor Calibration of Low-Cost Magnetic, Angular Rate and Gravity Systems
por: Lüken, Markus, et al.
Publicado: (2015) -
Placement of Optical Sensors in 3D Terrain Using a Bacterial Evolutionary Algorithm
por: Kovács, Szilárd, et al.
Publicado: (2022) -
Benchmarking Dataset of Signals from a Commercial MEMS Magnetic–Angular Rate–Gravity (MARG) Sensor Manipulated in Regions with and without Geomagnetic Distortion
por: Sonchan, Pontakorn, et al.
Publicado: (2023) -
Supervised Contrastive Learning with Angular Margin for the Detection and Grading of Diabetic Retinopathy
por: Zhu, Dongsheng, et al.
Publicado: (2023) -
A Novel Permanent Magnetic Angular Acceleration Sensor
por: Zhao, Hao, et al.
Publicado: (2015)