Integration of a Multi-Camera Vision System and Strapdown Inertial Navigation System (SDINS) with a Modified Kalman Filter
This paper describes the development of a modified Kalman filter to integrate a multi-camera vision system and strapdown inertial navigation system (SDINS) for tracking a hand-held moving device for slow or nearly static applications over extended periods of time. In this algorithm, the magnitude of...
Main Authors: | Parnian, Neda, Golnaraghi, Farid |
---|---|
Format: | Online |
Language: | English |
Published: |
Molecular Diversity Preservation International (MDPI)
2010
|
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3247712/ |
Similar Items
-
Integration of vision and inertial sensors for industrial tools tracking
by: N., Parnian, et al.
Published: (2007) -
Angular Rate Optimal Design for the Rotary Strapdown Inertial Navigation System
by: Yu, Fei, et al.
Published: (2014) -
Research on Initial Alignment and Self-Calibration of Rotary Strapdown Inertial Navigation Systems
by: Gao, Wei, et al.
Published: (2015) -
An Improved Alignment Method for the Strapdown Inertial Navigation System (SINS)
by: Liu, Meng, et al.
Published: (2016) -
Field Programmable Gate Array Based Parallel Strapdown Algorithm Design for Strapdown Inertial Navigation Systems
by: Li, Zong-Tao, et al.
Published: (2011)