Cargando…
Pose Estimation of a Mobile Robot Based on Fusion of IMU Data and Vision Data Using an Extended Kalman Filter
Using a single sensor to determine the pose estimation of a device cannot give accurate results. This paper presents a fusion of an inertial sensor of six degrees of freedom (6-DoF) which comprises the 3-axis of an accelerometer and the 3-axis of a gyroscope, and a vision to determine a low-cost and...
Autores principales: | Alatise, Mary B., Hancke, Gerhard P. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5676736/ https://www.ncbi.nlm.nih.gov/pubmed/28934102 http://dx.doi.org/10.3390/s17102164 |
Ejemplares similares
-
ESPEE: Event-Based Sensor Pose Estimation Using an Extended Kalman Filter
por: Colonnier, Fabien, et al.
Publicado: (2021) -
Sensor Fusion of GNSS and IMU Data for Robust Localization via Smoothed Error State Kalman Filter
por: Yin, Yuming, et al.
Publicado: (2023) -
9-DOF IMU-Based Attitude and Heading Estimation Using an Extended Kalman Filter with Bias Consideration
por: Farahan, Sajjad Boorghan, et al.
Publicado: (2022) -
IMU/UWB Fusion Method Using a Complementary Filter and a Kalman Filter for Hybrid Upper Limb Motion Estimation
por: Shi, Yutong, et al.
Publicado: (2023) -
Estimation of Antenna Pose in the Earth Frame Using Camera and IMU Data from Mobile Phones
por: Wang, Zhen, et al.
Publicado: (2017)