Cargando…
GO-INO: Graph Optimization MEMS-IMU/NHC/Odometer Integration for Ground Vehicle Positioning
Global navigation satellite system (GNSS) and inertial navigation system (INS) are indispensable for ground vehicle position and navigation. The Kalman filter (KF) is the first choice to integrate them and output more reliable navigation solutions. However, the GNSS signal is denied in urban areas,...
Autores principales: | Zhu, Kai, Yu, Yating, Wu, Bin, Jiang, Changhui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503408/ https://www.ncbi.nlm.nih.gov/pubmed/36144023 http://dx.doi.org/10.3390/mi13091400 |
Ejemplares similares
-
Adaptive Filtering on GPS-Aided MEMS-IMU for Optimal Estimation of Ground Vehicle Trajectory
por: Ahmed, Haseeb, et al.
Publicado: (2019) -
A Method of Calibration for the Distortion of LiDAR Integrating IMU and Odometer
por: Wu, Qiuxuan, et al.
Publicado: (2022) -
MIMU/Odometer Fusion with State Constraints for Vehicle Positioning during BeiDou Signal Outage: Testing and Results
por: Zhu, Kai, et al.
Publicado: (2020) -
A New Filtering and Smoothing Algorithm for Railway Track Surveying Based on Landmark and IMU/Odometer
por: Jiang, Qingan, et al.
Publicado: (2017) -
TRODO: A public vehicle odometers dataset for computer vision
por: Mouheb, Kaouther, et al.
Publicado: (2021)