Cargando…
ARAIM Stochastic Model Refinements for GNSS Positioning Applications in Support of Critical Vehicle Applications
Integrity monitoring (IM) is essential if GNSS positioning technologies are to be fully trusted by future intelligent transport systems. A tighter and conservative stochastic model can shrink protection levels in the position domain and therefore enhance the user-level integrity. In this study, the...
Autores principales: | Yang, Ling, Sun, Nan, Rizos, Chris, Jiang, Yiping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9786326/ https://www.ncbi.nlm.nih.gov/pubmed/36560166 http://dx.doi.org/10.3390/s22249797 |
Ejemplares similares
-
A Subset-Reduced Method for FDE ARAIM of Tightly-Coupled GNSS/INS
por: Pan, Weichuan, et al.
Publicado: (2019) -
GNSS/Electronic Compass/Road Segment Information Fusion for Vehicle-to-Vehicle Collision Avoidance Application
por: Sun, Rui, et al.
Publicado: (2017) -
Stochastic Modeling of Smartphones GNSS Observations Using LS-VCE and Application to Samsung S20
por: Zangenehnejad, Farzaneh, et al.
Publicado: (2023) -
Performance Evaluation of GNSS Position Augmentation Methods for Autonomous Vehicles in Urban Environments
por: Swaminathan, Harihara Bharathy, et al.
Publicado: (2022) -
Monocular Camera/IMU/GNSS Integration for Ground Vehicle Navigation in Challenging GNSS Environments
por: Chu, Tianxing, et al.
Publicado: (2012)